natural policy gradient

φ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee ICLR 2025 Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs JMLR 2025 Fast Convergence of Softmax Policy Mirror Ascent AISTATS 2025 Independent Learning in Performative Markov Potential Games AISTATS 2025 Learning mirror maps in policy mirror descent ICLR 2025 Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization UAI 2025 Scalable Natural Policy Gradient for General-Sum Linear Quadratic Games with Known Parameters L4DC 2025 Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs NeurIPS 2024 Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024 Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NeurIPS 2024 Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024 Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024 Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees ICLR 2024 Provable Policy Gradient Methods for Average-Reward Markov Potential Games AISTATS 2024 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024 Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023 Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NeurIPS 2023 Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies ICLR 2023 Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL NeurIPS 2023 Ordering-based Conditions for Global Convergence of Policy Gradient Methods NeurIPS 2023 Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NeurIPS 2023 Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023