game artificial intelligence

Can Go AIs Be Adversarially Robust? AAAI 2025 Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization ACL 2024 Enhancing Chess Reinforcement Learning with Graph Representation NeurIPS 2024 InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context EMNLP 2024 UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models EMNLP 2024 A Robust and Opponent-Aware League Training Method for StarCraft II NeurIPS 2023 Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions NeurIPS 2022 What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies AAAI 2022 Random Forests for Opponent Hand Estimation in Gin Rummy AAAI 2021 Design Adaptive AI for RTS Game by Learning Player's Build Order IJCAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning NeurIPS 2020 A Monte Carlo Tree Search Player for Birds of a Feather Solitaire AAAI 2019 Automated Chess Commentator Powered by Neural Chess Engine ACL 2019 Hierarchical Macro Strategy Model for MOBA Game AI AAAI 2019 On Reinforcement Learning for Full-Length Game of StarCraft AAAI 2019 Strategic Tasks for Explainable Reinforcement Learning AAAI 2019 Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger NeurIPS 2018 Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement IJCAI 2018 Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract) IJCAI 2018 Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017 A Scalable Machine Learning Approach to Go NeurIPS 2006