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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

Towards Safe Reinforcement Learning with a Safety Editor Policy NIPS 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach AAAI 2022
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints ICML 2022
Planning with Participation Constraints AAAI 2022
Rethinking Optimization with Differentiable Simulation from a Global Perspective CORL 2022
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning ICML 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL ICML 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes AAAI 2022
Towards painless policy optimization for constrained MDPs UAI 2022
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints UAI 2022
Redeeming intrinsic rewards via constrained optimization NIPS 2022
Supported Policy Optimization for Offline Reinforcement Learning NIPS 2022
Proximal Point Imitation Learning NIPS 2022
Exploring Safer Behaviors for Deep Reinforcement Learning AAAI 2022
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL NIPS 2022
Chaining Value Functions for Off-Policy Learning AAAI 2022
Controllable Text Simplification with Deep Reinforcement Learning IJCNLP 2022
Online Apprenticeship Learning AAAI 2022
Reward-Weighted Regression Converges to a Global Optimum AAAI 2022
When to Update Your Model: Constrained Model-based Reinforcement Learning NIPS 2022
Cooperative Multi-Agent Fairness and Equivariant Policies AAAI 2022
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022
Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022