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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

State Regularized Policy Optimization on Data with Dynamics Shift NIPS 2023
Heuristic Search for Multi-Objective Probabilistic Planning AAAI 2023
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations NIPS 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization NIPS 2023
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback NIPS 2023
Counterfactual Learning with General Data-Generating Policies AAAI 2023
Reduced Policy Optimization for Continuous Control with Hard Constraints NIPS 2023
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes NIPS 2023
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds L4DC 2023
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NIPS 2023
Aligning Large Language Models through Synthetic Feedback EMNLP 2023
Bi-Level Offline Policy Optimization with Limited Exploration NIPS 2023
Batch size-invariance for policy optimization NIPS 2022
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems NIPS 2022
The Phenomenon of Policy Churn NIPS 2022
Near-Optimal Sample Complexity Bounds for Constrained MDPs NIPS 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response NIPS 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs AAAI 2022
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences JMLR 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning NIPS 2022
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning NIPS 2022
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System CORL 2022
Mirror Learning: A Unifying Framework of Policy Optimisation ICML 2022
The Primacy Bias in Deep Reinforcement Learning ICML 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022