opponent modeling

Proximal Learning With Opponent-Learning Awareness NeurIPS 2022 Evaluating Gin Rummy Hands Using Opponent Modeling and Myopic Meld Distance AAAI 2021 Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts IJCAI 2021 Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies AAAI 2021 Opponent Hand Estimation in the Game of Gin Rummy AAAI 2021 Random Forests for Opponent Hand Estimation in Gin Rummy AAAI 2021 Learning to Model Opponent Learning (Student Abstract) AAAI 2020 Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning IJCAI 2020 A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019 Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning ICLR 2019 Reinforcement Learning under Threats AAAI 2019 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NeurIPS 2018 Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement IJCAI 2018 POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract) IJCAI 2017 The Minds of Many: Opponent Modeling in a Stochastic Game IJCAI 2017 Opponent Modeling in Deep Reinforcement Learning ICML 2016