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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 Optimization as Online Learning with Mediator Feedback AAAI 2021
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021
UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2 AAAI 2021
Learning One Representation to Optimize All Rewards NIPS 2021
Near Optimal Policy Optimization via REPS NIPS 2021
Iterative Amortized Policy Optimization NIPS 2021
Clipping Loops for Sample-Efficient Dialogue Policy Optimisation NAACL 2021
Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation COLT 2021
Safe Driving via Expert Guided Policy Optimization CORL 2021
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation IJCNLP 2021
On Effective Scheduling of Model-based Reinforcement Learning NIPS 2021
Near-optimal Regret Bounds for Stochastic Shortest Path ICML 2020
Learning to Score Behaviors for Guided Policy Optimization ICML 2020
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination ICML 2020
Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020
Bidirectional Model-based Policy Optimization ICML 2020
Monte-Carlo Tree Search as Regularized Policy Optimization ICML 2020
On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020
A distributional view on multi-objective policy optimization ICML 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020
Policy Search by Target Distribution Learning for Continuous Control AAAI 2020
Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration NIPS 2020
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization NIPS 2020