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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

Improving Policy Optimization with Generalist-Specialist Learning ICML 2022
An Analytical Update Rule for General Policy Optimization ICML 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022
The Geometry of Robust Value Functions ICML 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022
Policy Optimization with Linear Temporal Logic Constraints NIPS 2022
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee ICML 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022
Dynamic Regret of Online Markov Decision Processes ICML 2022
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality NIPS 2022
Discovered Policy Optimisation NIPS 2022
Meta Approach to Data Augmentation Optimization WACV 2022
Empirical Gateaux Derivatives for Causal Inference NIPS 2022
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems NAACL 2022
Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation EMNLP 2022
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NIPS 2022
Learning to Constrain Policy Optimization with Virtual Trust Region NIPS 2022
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NIPS 2022
Direct Advantage Estimation NIPS 2022
Constrained Update Projection Approach to Safe Policy Optimization NIPS 2022
Federated Reinforcement Learning with Environment Heterogeneity AISTATS 2022
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation ICML 2022
IMO^3: Interactive Multi-Objective Off-Policy Optimization IJCAI 2022
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022