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opponent modeling

41 papers

OM

Papers

BDI-based Opponent Modeling and Strategy Generation for Multi-Issue Negotiation (Student Abstract) AAAI 2026 Beyond Rule-Based Agents: Active Markov Games for Realistic Multi-Agent Interaction in Autonomous Driving CVPR 2026 Foresight Optimization for Strategic Reasoning in Large Language Models ACL 2026 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer Optimization EMNLP 2025 Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling IJCAI 2025 LLM-Based Explicit Models of Opponents for Multi-Agent Games NAACL 2025 PokéChamp: an Expert-level Minimax Language Agent ICML 2025 Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning ICML 2024 LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments ACL 2024 LOQA: Learning with Opponent Q-Learning Awareness ICLR 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 Opponent Modeling based on Subgoal Inference NeurIPS 2024 Opponent Modeling with In-context Search NeurIPS 2024 Opponent-Model Search in Games with Incomplete Information AAAI 2024 Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households CVPR 2024 Towards Offline Opponent Modeling with In-context Learning ICLR 2024 An effective negotiating agent framework based on deep offline reinforcement learning UAI 2023 A Robust and Opponent-Aware League Training Method for StarCraft II NeurIPS 2023 BRExIt: On Opponent Modelling in Expert Iteration IJCAI 2023 Opponent-Limited Online Search for Imperfect Information Games ICML 2023 Strategic Knowledge Transfer JMLR 2023 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 Model-Based Opponent Modeling NeurIPS 2022 Opponent Modeling in Negotiation Dialogues by Related Data Adaptation NAACL 2022