Reinforcement Learning

On-Policy Robot Imitation Learning from a Converging Supervisor CoRL 2019 On Principled Entropy Exploration in Policy Optimization IJCAI 2019 On Reinforcement Learning for Full-Length Game of StarCraft AAAI 2019 On Strength Adjustment for MCTS-Based Programs AAAI 2019 On the Correctness and Sample Complexity of Inverse Reinforcement Learning NeurIPS 2019 On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference ICML 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 Orthogonal Estimation of Wasserstein Distances AISTATS 2019 P3O: Policy-on Policy-off Policy Optimization UAI 2019 Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning RSS 2019 Park: An Open Platform for Learning-Augmented Computer Systems NeurIPS 2019 Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes IJCAI 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 in entropy-regularized Markov decision processes and games NeurIPS 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