policy optimization

Population-size-Aware Policy Optimization for Mean-Field Games ICLR 2023 Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NeurIPS 2023 Provably Efficient Offline Reinforcement Learning in Regular Decision Processes NeurIPS 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023 RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution ICML 2023 Reduced Policy Optimization for Continuous Control with Hard Constraints NeurIPS 2023 Rehabilitating Homeless: Dataset and Key Insights AAAI 2023 Reinforcement Learning with Stepwise Fairness Constraints AISTATS 2023 ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs ICML 2023 Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency ICLR 2023 Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023 Revisiting the Minimalist Approach to Offline Reinforcement Learning NeurIPS 2023 RRHF: Rank Responses to Align Language Models with Human Feedback NeurIPS 2023 Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms NeurIPS 2023 Sequential Counterfactual Risk Minimization ICML 2023 State Regularized Policy Optimization on Data with Dynamics Shift NeurIPS 2023 Survival Instinct in Offline Reinforcement Learning NeurIPS 2023 Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract) AAAI 2023 Tempo Adaptation in Non-stationary Reinforcement Learning NeurIPS 2023 The Power of Learned Locally Linear Models for Nonlinear Policy Optimization ICML 2023 The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms ICML 2023 Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints ICLR 2023 Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023 Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023