Policy Learning

Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CoRL 2019 Natural Option Critic AAAI 2019 Non-Monotonic Sequential Text Generation ICML 2019 Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019 On-Policy Robot Imitation Learning from a Converging Supervisor CoRL 2019 On Principled Entropy Exploration in Policy Optimization IJCAI 2019 On the Correctness and Sample Complexity of Inverse Reinforcement Learning NeurIPS 2019 Optimistic Policy Optimization via Multiple Importance Sampling ICML 2019 Optimizing over a Restricted Policy Class in MDPs AISTATS 2019 P3O: Policy-on Policy-off Policy Optimization UAI 2019 Per-Decision Option Discounting ICML 2019 Performance Guarantees for Homomorphisms beyond Markov Decision Processes AAAI 2019 Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP) AAAI 2019 Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019 Policy Continuation with Hindsight Inverse Dynamics NeurIPS 2019 Policy Learning for Fairness in Ranking NeurIPS 2019 POLITEX: Regret Bounds for Policy Iteration using Expert Prediction ICML 2019 Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019 Projections for Approximate Policy Iteration Algorithms ICML 2019 ProMP: Proximal Meta-Policy Search ICLR 2019 Provably Efficient Imitation Learning from Observation Alone ICML 2019 Provably Efficient Maximum Entropy Exploration ICML 2019 Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NeurIPS 2019 Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost NeurIPS 2019 Quasi-Newton Trust Region Policy Optimization CoRL 2019