Add new paper references (#7)

BAAI-Agents · Aug 12, 2024 · 9e26883 · 9e26883
1 parent 9504a06
commit 9e26883
Showing 1 changed file with 64 additions and 8 deletions.
diff --git a/README.md b/README.md
@@ -3,8 +3,9 @@
 <div align="center">
 
 ![PRs Welcome](https://img.shields.io/badge/PRs-Welcome-green)
-![Stars](https://img.shields.io/github/stars/BAAI-Agents/GPA-LM)
+[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
 [![Visits Badge](https://badges.pufler.dev/visits/BAAI-Agents/GPA-LM)](https://badges.pufler.dev/visits/BAAI-Agents/GPA-LM)
+![Stars](https://img.shields.io/github/stars/BAAI-Agents/GPA-LM)
 ![Forks](https://img.shields.io/github/forks/BAAI-Agents/GPA-LM)
 <a href='https://arxiv.org/abs/2403.10249'><img src='https://img.shields.io/badge/arXiv-2403.10249-b31b1b.svg'></a>
 </div>
@@ -23,14 +24,55 @@
 
 <div align=center><img src="BAAI_Survey_timeline.png" width="100%" /></div>
 
-## 2024
+## 2024/08
+- [2024/08/07] Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks. [[paper](https://arxiv.org/pdf/2408.03615)] [[code](https://cybertronagent.github.io/Optimus-1.github.io/)]
+
+## 2024/07
+- [2024/07/21] VideoGameBunny: Towards vision assistants for video games. [[paper](https://arxiv.org/abs/2407.15295)] [[code](https://videogamebunny.github.io/)]
+- [2024/07/05] Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents. [[paper](https://arxiv.org/abs/2407.04221)]
+- [2024/07/02] Cradle: Empowering Foundation Agents Towards General Computer Control. [[paper](https://arxiv.org/abs/2403.03186)] [[project](https://baai-agents.github.io/Cradle/)]
+
+## 2024/06
+- [2024/06/20] Two Giraffes in a Dirt Field: Using Game Play to Investigate Situation Modelling in Large Multimodal Models. [[paper](https://arxiv.org/abs/2406.14035)]
+
+## 2024/05
+- [2024/05/23] Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration. [[paper](https://arxiv.org/pdf/2405.14314)] [[code](https://arxiv.org/pdf/2405.14314)]
+- [2024/05/11] Prompt-Gaming: A Pilot Study on LLM-Evaluating Agent in a Meaningful Energy Game. [[paper](https://dl.acm.org/doi/pdf/10.1145/3613905.3650774)]
+
+## 2024/04
+- [2024/04/17] AgentKit: Flow Engineering with Graphs, not Coding. [[paper](https://arxiv.org/pdf/2404.11483)] [[code](https://github.com/holmeswww/AgentKit)]
+- [2024/04/16] Self-playing Adversarial Language Game Enhances LLM Reasoning. [[paper](https://arxiv.org/pdf/2404.10642)] [[code](https://arxiv.org/pdf/2404.10642)]
+
+## 2024/03
+- [2024/03/23] Evaluate LLMs in real time with Street Fighter III. [[code](https://github.com/OpenGenerativeAI/llm-colosseum)]
+- [2024/03/19] Embodied LLM Agents Learn to Cooperate in Organized Teams. [[paper](https://arxiv.org/pdf/2403.12482)]
+- [2024/03/18] Can LLM-Augmented Autonomous Agents Cooperate?, An Evaluation of Their Cooperative Capabilities through Melting Pot. [[paper](https://arxiv.org/abs/2403.11381.pdf)]
+- [2024/03/18] EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents. [[paper](https://arxiv.org/abs/2403.12014.pdf)]
+- [2024/03/18] MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control. [[paper](https://arxiv.org/abs/2403.12037.pdf)] [[code](https://github.com/Zhoues/MineDreamer)]
 - [2024/03/14] Scaling Instructable Agents Across Many Simulated Worlds. [[paper](https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/sima-generalist-ai-agent-for-3d-virtual-environments/Scaling%20Instructable%20Agents%20Across%20Many%20Simulated%20Worlds.pdf)]
-- [2024/03/05] Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. [[paper](https://arxiv.org/abs/2403.03186)] [[project](https://baai-agents.github.io/Cradle/)]
-- [2024/02/02] PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models. [[paper](https://arxiv.org/abs/2402.01118)] [[code](https://github.com/git-disl/PokeLLMon)]
+- [2024/03/13] Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation. [[paper](https://arxiv.org/abs/2403.08282.pdf)]
+- [2024/03/13] SOTOPIA-$\pi$: Interactive Learning of Socially Intelligent Language Agents. [[paper](https://arxiv.org/pdf/2403.08715.pdf)] [[code](https://github.com/sotopia-lab/sotopia-pi)]
+- [2024/03/08] Will GPT-4 Run DOOM? [[paper](https://arxiv.org/abs/2403.05468.pdf)] [[code](https://github.com/adewynter/Doom)]
+- [2024/03/05] Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. [[paper](https://tellarin.com/borje/papers/baaitr24gcc.pdf)] [[project](https://baai-agents.github.io/Cradle/)]
+- [2024/03/01] Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents. [[paper](https://arxiv.org/pdf/2403.00690.pdf)] [[code](https://arxiv.org/pdf/2403.00690.pdf)]
+
+## 2024/02
+- [2024/02/29] RL-GPT: Integrating Reinforcement Learning and Code-as-policy. [[paper](https://arxiv.org/abs/2402.19299.pdf)]
+- [2024/02/27] Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization. [[paper](https://arxiv.org/abs/2402.17574)] [[code](https://github.com/zwq2018/Agent-Pro)]
+- [2024/02/21] PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. [[paper](https://arxiv.org/abs/2402.15527)] [[code](https://github.com/pkunlp-icler/PCA-EVAL)]
+- [2024/02/20] What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents. [[paper](https://arxiv.org/pdf/2402.13184)] [[code](https://github.com/MingyuJ666/Simulating-Alien-Civilizations-with-LLM-based-Agents)]
+- [2024/02/07] S-Agents: Self-organizing Agents in Open-ended Environments. [[paper](https://arxiv.org/abs/2402.04578)]
+- [2024/02/04] Enhance Reasoning for Large Language Models in the Game Werewolf. [[paper](https://arxiv.org/abs/2402.02330.pdf)]
+- [2024/02/02] PokéLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models. [[paper](https://arxiv.org/abs/2402.01118)] [[code](https://github.com/git-disl/PokeLLMon)]
+
+## 2024/01
+- [2024/01/31] SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language models. [[paper](https://arxiv.org/abs/2401.17749)]
 - [2024/01/19] CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. [[Paper](https://arxiv.org/abs/2401.10568)][[Code](https://github.com/bigai-ai/civrealm)]
 - [2024/01/17] Searching bug instances in gameplay video repositories. [[paper](https://ieeexplore.ieee.org/document/10402100)] [[data](https://zenodo.org/records/10211390)]
+- [2024/01/04] PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model. [[paper](https://arxiv.org/abs/2401.06781)]
 
 ## 2023/12
+- [2023/12/29] Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game. [[paper](https://arxiv.org/abs/2312.17515.pdf)]
 - [2023/12/23] LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination. [[paper](https://arxiv.org/abs/2312.15224)] [[project](https://sites.google.com/view/overcooked-hla/)]
 - [2023/12/19] Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. [[paper](https://arxiv.org/abs/2312.11865)]
 - [2023/12/14] Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. [[paper](https://arxiv.org/pdf/2312.09238.pdf)]
@@ -44,14 +86,19 @@
 - [2023/12/01] Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games. [[paper](https://arxiv.org/pdf/2312.00746.pdf)]
 
 ## 2023/11
+- [2023/11/28] War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars. [[paper](https://arxiv.org/abs/2311.17227.pdf)] [[code](https://github.com/agiresearch/WarAgent)]
+- [2023/11/26] See and Think: Embodied Agent in Virtual Environment. [[paper](https://arxiv.org/abs/2311.15209.pdf)] [[code](https://github.com/rese1f/STEVE)]
 - [2023/11/20] DesignGPT: Multi-Agent Collaboration in Design. [[paper](https://arxiv.org/pdf/2311.11591.pdf)]
 - [2023/11/14] MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. [[paper](https://arxiv.org/abs/2311.08562)] [[code](https://github.com/cathyxl/MAgIC)]
 - [2023/11/10] Jarvis-1: Open-World Multi-Task Agents with Memory-Augmented Multimodal Language Models. [[paper](https://arxiv.org/abs/2311.05997)] [[code](https://github.com/CraftJarvis/JARVIS-1)]
+- [2023/11/08] ADaPT: As-Needed Decomposition and Planning with Language Models. [[paper](https://arxiv.org/abs/2311.05772)] [[code](https://github.com/archiki/ADaPT)]
 
 ## 2023/10
+- [2023/10/31] Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models. [[paper](https://arxiv.org/abs/2310.20499.pdf)] [[code](https://github.com/Skytliang/SpyGame)]
 - [2023/10/29] Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. [[paper](https://arxiv.org/abs/2310.18940)]
 - [2023/10/23] LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. [[paper](https://arxiv.org/abs/2310.14985)]
 - [2023/10/20] Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. [[paper](https://arxiv.org/pdf/2310.13255.pdf)] [[code](https://github.com/BAAI-Agents/Steve-Eye)]
+- [2023/10/18] SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. [[paper](https://arxiv.org/abs/2310.11667.pdf)] [[code](https://github.com/sotopia-lab/sotopia)]
 - [2023/10/16] Character-LLM: A Trainable Agent for Role-Playing. [[paper](https://arxiv.org/pdf/2310.10158.pdf)] [[code](https://github.com/choosewhatulike/trainable-agents)]
 - [2023/10/13] LLaMA Rider: Spurring Large Language Models to Explore the Open World. [[paper](https://arxiv.org/abs/2310.08922)]
 - [2023/10/12] GameGPT: Multi-agent Collaborative Framework for Game Development. [[paper](https://arxiv.org/abs/2310.08067)]
@@ -60,17 +107,19 @@
 - [2023/10/10] Metaagents: Simulating Interactions of Human Behaviors for LLM-Based Task-Oriented Coordination via Collaborative Generative Agents. [[paper](https://arxiv.org/abs/2310.06500)]
 - [2023/10/09] Humanoid Agents: Platform for Simulating Human-like Generative Agents. [[paper](https://arxiv.org/abs/2310.05418)] [[code](https://github.com/HumanoidAgents/HumanoidAgents)]
 - [2023/10/08] AvalonBench: Evaluating LLMs Playing the Game of Avalon. [[paper](https://arxiv.org/pdf/2310.05036.pdf)] [[code](https://github.com/jonathanmli/Avalon-LLM)]
-- [2023/10/03] Evaluating Multi-Agent Coordination Abilities in Large Language Models [[paper](https://arxiv.org/pdf/2310.02071.pdf)] [[code](https://github.com/pkunlp-icler/PCA-EVAL)]
+- [2023/10/06] Cautious Curiosity: A Novel Approach to a Human-Like Gameplay Agent. [[paper](https://ojs.aaai.org/index.php/AIIDE/article/view/27533)] [[code](https://github.com/AndyZCJ/Cautious-Curiosity-Agent)]
+- [2023/10/05] LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models. [[paper](https://arxiv.org/pdf/2310.02071.pdf)] [[code](https://github.com/eric-ai-lab/llm_coordination)]
 - [2023/10/03] Lyfe Agents: Generative agents for low-cost real-time social interactions. [[paper](https://arxiv.org/pdf/2310.02172.pdf)]
 - [2023/10/03] Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. [[paper](https://arxiv.org/pdf/2310.02071.pdf)] [[code](https://github.com/pkunlp-icler/PCA-EVAL)]
 - [2023/10/02] SmartPlay: A Benchmark for LLMs as Intelligent Agents. [[paper](https://arxiv.org/abs/2310.01557)] [[code](https://github.com/LLMsmartplay/SmartPlay)]
 - [2023/10/02] Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation. [[paper](https://arxiv.org/pdf/2310.01320.pdf)]
 - [2023/10/01] RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. [[paper](https://arxiv.org/abs/2310.00746)] [[code](https://github.com/InteractiveNLP-Team/RoleLLM-public)]
 
 ## 2023/09
+- [2023/09/29] AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. [[paper](https://arxiv.org/abs/2309.17176)] [[code](https://github.com/PKU-RL/AdaRefiner)]
 - [2023/09/29] Motif: Intrinsic Motivation from Artificial Intelligence Feedback. [[paper](https://arxiv.org/abs/2310.00166)] [[code](https://github.com/facebookresearch/motif)]
 - [2023/09/29] LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games. [[paper](https://arxiv.org/abs/2309.17234)] [[code](https://github.com/S-Abdelnabi/LLM-Deliberation)]
-- [2023/09/29] Suspision-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4. [[paper](https://arxiv.org/pdf/2309.17277.pdf)] [[code](https://github.com/CR-Gjx/Suspicion-Agent)]
+- [2023/09/29] Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4. [[paper](https://arxiv.org/pdf/2309.17277.pdf)] [[code](https://github.com/CR-Gjx/Suspicion-Agent)]
 - [2023/09/29] Autoagents: A Framework for Automatic Agent Generation. [[paper](https://arxiv.org/pdf/2309.17288.pdf)] [[code](https://github.com/Link-AGI/AutoAgents)]
 - [2023/09/21] True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. [[paper](https://arxiv.org/pdf/2401.14151.pdf)] [[code](https://github.com/WeihaoTan/TWOSOME)]
 - [2023/09/18] MindAgent: Emergent Gaming Interaction. [[paper](https://arxiv.org/abs/2309.09971)] [[code](https://github.com/mindagent/mindagent)]
@@ -81,8 +130,10 @@
 - [2023/08/23] Are ChatGPT and GPT-4 Good Poker Players?--A Pre-Flop Analysis. [[paper](https://arxiv.org/pdf/2308.12466.pdf)]
 - [2023/08/22] Proagent: Constructing Proactive Cooperative AI Using Large Language Models. [[paper](https://arxiv.org/abs/2308.11339)] [[code](https://github.com/PKU-Alignment/ProAgent)]
 - [2023/08/21] Agentverse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. [[paper](https://arxiv.org/abs/2308.10848)] [[code](https://github.com/OpenBMB/AgentVerse)]
+- [2023/08/19] GameEval: Evaluating LLMs on Conversational Games. [[paper](https://arxiv.org/abs/2308.10032.pdf)] [[code](https://github.com/jordddan/GameEval)]
 - [2023/08/16] Autogen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. [[paper](https://arxiv.org/pdf/2308.08155.pdf)]
 - [2023/08/15] CALYPSO: LLMs as Dungeon Master's Assistants. [[paper](https://arxiv.org/pdf/2308.07540.pdf)]
+- [2023/08/08] AgentSims: An Open-Source Sandbox for Large Language Model Evaluation. [[paper](https://arxiv.org/abs/2308.04026.pdf)]
 - [2023/08/01] MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. [[paper](https://arxiv.org/abs/2308.00352)] [[code](https://github.com/geekan/MetaGPT)]
 
  ## 2023/07
@@ -94,6 +145,8 @@
 
 ## 2023/06
 - [2023/06/20] SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. [[paper](https://arxiv.org/abs/2306.11886)] [[code](https://github.com/clvrai/sprint)]
+- [2023/06/15] ChessGPT: Bridging Policy Learning and Language Modeling. [[paper](https://proceedings.neurips.cc/paper_files/paper/2023/hash/16b14e3f288f076e0ca73bdad6405f77-Abstract-Datasets_and_Benchmarks.html)] [[code](https://github.com/waterhorse1/ChessGPT)]
+- [2023/06/02] OMNI: Open-endedness via Models of human Notions of Interestingness. [[paper](https://arxiv.org/abs/2306.01711.pdf)] [[code](https://github.com/jennyzzt/omni)]
 - [2023/06/01] STEVE-1: A Generative Model for Text-to-Behavior in Minecraft. [[paper](https://arxiv.org/pdf/2306.00937.pdf)] [[code](https://github.com/Shalev-Lifshitz/STEVE-1)]
 
 ## 2023/05
@@ -119,6 +172,7 @@
 - [2023/03/06] PaLM-E: An Embodied Multimodal Language Model. [[paper](https://arxiv.org/abs/2303.03378)]
 
 ## 2023/02
+- [2023/02/13] Guiding Pretraining in Reinforcement Learning with Large Language Models. [[paper](https://arxiv.org/abs/2302.06692)] [[code](https://github.com/yuqingd/ellm)]
 - [2023/02/12] MarioGPT: Open-Ended Text2Level Generation through Large Language Models. [[paper](https://arxiv.org/abs/2302.05981)] [[code](https://github.com/shyamsn97/mario-gpt)]
 - [2023/02/03] Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents. [[paper](https://arxiv.org/pdf/2302.01560.pdf)] [[code](https://github.com/CraftJarvis/MC-Planner)]
 
@@ -127,7 +181,9 @@
 - [2023/01/21] Open-World Multi-Task Control through Goal-Aware Representation Learning and Adaptive Horizon Prediction. [[paper](https://arxiv.org/abs/2301.10034)] [[code](https://github.com/CraftJarvis/MC-Controller)]
 
 ## 2022
+- [2022/11/22] Human-Level Play in the Game of Diplomacy by Combining Language Models with Strategic Reasoning. [[paper](https://www.science.org/doi/pdf/10.1126/science.ade9097?casa_token=AB3PXQnKr8YAAAAA:pJO8TUkmbEUH77IhRcn-4r9PpxQc0jRgKokE3ElhmFvAhyTdjjS8aHOgJ_ViH_BnJwMDtTqdMmJgug)]
 - [2022/11/21] Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. [[paper](https://arxiv.org/abs/2211.11736)]
+- [2022/10/24] Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task. [[paper](https://arxiv.org/pdf/2210.13382.pdf)] [[code](https://github.com/likenneth/othello_world)]
 - [2022/10/05] Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors. [[paper](https://arxiv.org/abs/2210.02506)] [[code](https://asgaardlab.github.io/LLMxBugs/)]
 - [2022/08/08] Social Simulacra: Creating Populated Prototypes for Social Computing Systems. [[paper](https://arxiv.org/abs/2208.04024)]
 - [2022/07/12] Inner Monologue: Embodied Reasoning through Planning with Language Models. [[paper](https://arxiv.org/abs/2207.05608)]
@@ -139,7 +195,7 @@ If you find this repository useful, please cite our paper:
 
 ```
 @misc{xu2024survey,
-      title={A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges}, 
+      title={A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges},
       author={Xinrun Xu, Yuxin Wang, Chaoyi Xu, Ziluo Ding, Jiechuan Jiang, Zhiming Ding, Börje F. Karlsson},
       year={2024},
       eprint={2403.10249},
@@ -149,5 +205,5 @@ If you find this repository useful, please cite our paper:
 ```
 
 ## Contact
-- Börje F. Karlsson [@tellarin](https://github.com/tellarin): [email protected] 
+- Börje F. Karlsson [@tellarin](https://github.com/tellarin): [email protected]
 - Xinrun Xu [@XinrunXu](https://github.com/XinrunXu): [email protected]