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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