Policy Learning

Partially Observable Markov Decision Process Modelling for Assessing Hierarchies ACML 2020 PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning NeurIPS 2020 Pessimism About Unknown Unknowns Inspires Conservatism COLT 2020 Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies ALT 2020 Policy Improvement via Imitation of Multiple Oracles NeurIPS 2020 Policy learning in SE(3) action spaces CoRL 2020 Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems L4DC 2020 Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020 Policy Search by Target Distribution Learning for Continuous Control AAAI 2020 Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework NeurIPS 2020 Population-Guided Parallel Policy Search for Reinforcement Learning ICLR 2020 POST: POlicy-Based Switch Tracking AAAI 2020 Predictive Coding for Locally-Linear Control ICML 2020 Preference-based Reinforcement Learning with Finite-Time Guarantees NeurIPS 2020 Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms EMNLP 2020 Projection-Based Constrained Policy Optimization ICLR 2020 Provable Self-Play Algorithms for Competitive Reinforcement Learning ICML 2020 Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020 Provably Efficient Exploration in Policy Optimization ICML 2020 Ranking Policy Gradient ICLR 2020 Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior JMLR 2020 Ready Policy One: World Building Through Active Learning ICML 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020 Reinforcement Learning for Control with Multiple Frequencies NeurIPS 2020