game ai

Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs ACL 2024 Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games ACL 2024 Designing Skill-Compatible AI: Methodologies and Frameworks in Chess ICLR 2024 Enhancing Chess Reinforcement Learning with Graph Representation NeurIPS 2024 EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024 Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games AISTATS 2024 Evidence of Learned Look-Ahead in a Chess-Playing Neural Network NeurIPS 2024 GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps NeurIPS 2024 Generating Converging Narratives for Games with Large Language Models COLING 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NeurIPS 2024 Leveraging Large Language Models for Spell-Generation in Dungeons & Dragons COLING 2024 LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments ACL 2024 Mahjong AI Competition: Exploring AI Application in Complex Real-World Games IJCAI 2024 Maia-2: A Unified Model for Human-AI Alignment in Chess NeurIPS 2024 Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence NeurIPS 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 More Victories, Less Cooperation: Assessing Cicero’s Diplomacy Play ACL 2024 Ontologically Faithful Generation of Non-Player Character Dialogues EMNLP 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NeurIPS 2024 Procedural Level Generation with Diffusion Models from a Single Example AAAI 2024 Riddle Me This: Evaluating Large Language Models in Solving Word-Based Games COLING 2024 RL-GPT: Integrating Reinforcement Learning and Code-as-policy NeurIPS 2024 Speculative Monte-Carlo Tree Search NeurIPS 2024 The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract) AAAI 2024 The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games AAAI 2024