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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

Policy Poisoning in Batch Reinforcement Learning and Control NIPS 2019
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints IJCAI 2019
Monte Carlo Tree Search for Policy Optimization IJCAI 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces NIPS 2019
Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019
CRSRL: Customer Routing System Using Reinforcement Learning IJCAI 2019
Predictor-Corrector Policy Optimization ICML 2019
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NIPS 2019
Optimistic Policy Optimization via Multiple Importance Sampling ICML 2019
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CORL 2019
P3O: Policy-on Policy-off Policy Optimization UAI 2019
Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019
Social Reinforcement Learning to Combat Fake News Spread UAI 2019
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CORL 2019
Optimizing over a Restricted Policy Class in MDPs AISTATS 2019
Imitation-Regularized Offline Learning AISTATS 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019
Active Exploration in Markov Decision Processes AISTATS 2019
A Theory of Regularized Markov Decision Processes ICML 2019
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019
Provably Efficient Maximum Entropy Exploration ICML 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games NIPS 2019
Feedback-Based Tree Search for Reinforcement Learning ICML 2018
Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives IJCAI 2018
Three-Head Neural Network Architecture for Monte Carlo Tree Search IJCAI 2018