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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

Safe Reinforcement Learning in Constrained Markov Decision Processes ICML 2020
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning IJCAI 2020
The Differentiable Cross-Entropy Method ICML 2020
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation ACL 2020
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems JMLR 2020
BRPO: Batch Residual Policy Optimization IJCAI 2020
Importance Sampling Techniques for Policy Optimization JMLR 2020
Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020
Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020
Learning to Slide Unknown Objects with Differentiable Physics Simulations RSS 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020
Model-based Policy Optimization with Unsupervised Model Adaptation NIPS 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization NIPS 2020
Policy Improvement via Imitation of Multiple Oracles NIPS 2020
Critic Regularized Regression NIPS 2020
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes NIPS 2020
Trust the Model When It Is Confident: Masked Model-based Actor-Critic NIPS 2020
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NIPS 2020
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model NIPS 2020
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method NIPS 2020
MOPO: Model-based Offline Policy Optimization NIPS 2020
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NIPS 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning NIPS 2020
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning CORL 2020
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies ACML 2020