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natural policy gradient

33 papers

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NPG

Co-occurring keywords

policy optimization (630) sample complexity (1158) markov decision process (788) policy gradient (518) reinforcement learning (4122) multi-agent reinforcement learning (534) convergence guarantee (169) nash equilibrium (396) primal-dual method (58) variance reduction (520)

Papers

Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs JMLR 2025
REBEL: Reinforcement Learning via Regressing Relative Rewards NIPS 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NIPS 2024
Provable Policy Gradient Methods for Average-Reward Markov Potential Games AISTATS 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024
Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NIPS 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 2023
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023
Ordering-based Conditions for Global Convergence of Policy Gradient Methods NIPS 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NIPS 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings AAAI 2022
Independent Natural Policy Gradient always converges in Markov Potential Games AISTATS 2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning NIPS 2022
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation AISTATS 2022
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction? UAI 2022
The Role of Baselines in Policy Gradient Optimization NIPS 2022
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) JMLR 2022
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021