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policy optimization

630 papers

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Also known as

GRPO POLO MAPO PO PPO

Co-occurring keywords

reinforcement learning (4122) markov decision process (788) offline reinforcement learning (492) deep reinforcement learning (903) model-based reinforcement learning (415) large language model (12755) safe reinforcement learning (119) policy learning (699) value function (294) regret bound (1918)

Papers

Specializing Versatile Skill Libraries using Local Mixture of Experts CORL 2021
Action redundancy in reinforcement learning UAI 2021
Non-Stationary Off-Policy Optimization AISTATS 2021
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021
Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers ICML 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021
Interaction-Grounded Learning ICML 2021
Reward-Constrained Behavior Cloning IJCAI 2021
Learning from eXtreme Bandit Feedback AAAI 2021
Constrained Risk-Averse Markov Decision Processes AAAI 2021
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction NIPS 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NIPS 2021
Nearly Horizon-Free Offline Reinforcement Learning NIPS 2021
Generalizable Imitation Learning from Observation via Inferring Goal Proximity NIPS 2021
Explicable Reward Design for Reinforcement Learning Agents NIPS 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations NIPS 2021
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses NIPS 2021
Active Offline Policy Selection NIPS 2021
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NIPS 2021
Understanding the Effect of Stochasticity in Policy Optimization NIPS 2021
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic NIPS 2021
Progression Heuristics for Planning with Probabilistic LTL Constraints AAAI 2021