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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

Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021
Muesli: Combining Improvements in Policy Optimization ICML 2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021
Offline Contextual Bandits with Overparameterized Models ICML 2021
PODS: Policy Optimization via Differentiable Simulation ICML 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021
Taylor Expansion of Discount Factors ICML 2021
Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021
Learning While Playing in Mean-Field Games: Convergence and Optimality ICML 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies ICML 2021
Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021
A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition EMNLP 2021
Regularized Policies are Reward Robust AISTATS 2021
Provably Eļ¬ƒcient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case AISTATS 2021
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning AISTATS 2021
Preferential Temporal Difference Learning ICML 2021
Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021
Convex Regularization in Monte-Carlo Tree Search ICML 2021
Adversarial Policy Learning in Two-player Competitive Games ICML 2021
ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning CVPR 2021
Meta-Model-Based Meta-Policy Optimization ACML 2021
CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 2021
Fast Stochastic Kalman Gradient Descent for Reinforcement Learning L4DC 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021