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Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration ICML 2021
Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021
Taylor Expansion of Discount Factors ICML 2021
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time ICML 2021
Learning to Weight Imperfect Demonstrations ICML 2021
Robust Asymmetric Learning in POMDPs ICML 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies ICML 2021
Near Optimal Reward-Free Reinforcement Learning ICML 2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion ICML 2021
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping ICML 2021
Online Selection of Diverse Committees IJCAI 2021
Data-Efficient Reinforcement Learning for Malaria Control IJCAI 2021
Multi-Objective Reinforcement Learning for Designing Ethical Environments IJCAI 2021
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation IJCAI 2021
Efficient PAC Reinforcement Learning in Regular Decision Processes IJCAI 2021
Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021
Variational Model-based Policy Optimization IJCAI 2021
The Successful Ingredients of Policy Gradient Algorithms IJCAI 2021
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021
Average-Reward Reinforcement Learning with Trust Region Methods IJCAI 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021