Co-occurring keywords · papers mentioning both
Papers
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence
AISTATS 2023
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
NeurIPS 2022
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction?
UAI 2022
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
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
JMLR 2022
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation
AISTATS 2022
The Role of Baselines in Policy Gradient Optimization
NeurIPS 2022
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
ICML 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
ICML 2021
Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
AISTATS 2021
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
NeurIPS 2020
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes
NeurIPS 2020
Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes
COLT 2020
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems
L4DC 2020
Reward-Free Exploration for Reinforcement Learning
ICML 2020
Supervised Policy Update for Deep Reinforcement Learning
ICLR 2019
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
NeurIPS 2017
Adaptive Step-size Policy Gradients with Average Reward Metric
ACML 2010
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
NeurIPS 2010
Policy gradients in linearly-solvable MDPs
NeurIPS 2010