occupancy measure

Regret Minimization with Adaptive Opponents in Repeated Games COLT 2026 Convergence of Policy Mirror Descent Beyond Compatible Function Approximation ICML 2025 Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning ICML 2025 Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking ICLR 2025 Direct Multi-Turn Preference Optimization for Language Agents EMNLP 2024 Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent AISTATS 2024 Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024 Vision-Language Navigation with Energy-Based Policy NeurIPS 2024 Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality ICLR 2023 On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs ICML 2023 Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning L4DC 2023 Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023 Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic AAAI 2022 Imitation with Neural Density Models NeurIPS 2021 Strictly Batch Imitation Learning by Energy-based Distribution Matching NeurIPS 2020 Optimizing over a Restricted Policy Class in MDPs AISTATS 2019 Policy Optimization with Demonstrations ICML 2018