Methods

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning IJCAI 2019 Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019 Off-Policy Deep Reinforcement Learning without Exploration ICML 2019 Off-Policy Evaluation via Off-Policy Classification NeurIPS 2019 Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019 Online Pandora’s Boxes and Bandits AAAI 2019 Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function NeurIPS 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 Open-ended learning in symmetric zero-sum games ICML 2019 Optimistic Policy Optimization via Multiple Importance Sampling ICML 2019 Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning AAAI 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 PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning CoRL 2019 Planning with Expectation Models IJCAI 2019 Planning with Goal-Conditioned Policies NeurIPS 2019 Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control ICLR 2019 Playing Card-Based RTS Games with Deep Reinforcement Learning IJCAI 2019 Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning IJCAI 2019 Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019