policy gradient

Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning JMLR 2024 On the Second-Order Convergence of Biased Policy Gradient Algorithms ICML 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning AAAI 2024 Policy Gradient Methods in the Presence of Symmetries and State Abstractions JMLR 2024 Policy Mirror Descent with Lookahead NeurIPS 2024 Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF ICML 2024 Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024 Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024 Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization ICLR 2024 Risk-sensitive control as inference with Rényi divergence NeurIPS 2024 Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient ICML 2024 Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024 Robust Reinforcement Learning with General Utility NeurIPS 2024 Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024 SAPG: Split and Aggregate Policy Gradients ICML 2024 Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity ICLR 2024 Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint AISTATS 2024 Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process ICML 2024 Submodular Reinforcement Learning ICLR 2024 TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024 Time-Efficient Reinforcement Learning with Stochastic Stateful Policies ICLR 2024