Applications

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 Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP) AAAI 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 Policy Consolidation for Continual Reinforcement Learning ICML 2019 Policy Continuation with Hindsight Inverse Dynamics NeurIPS 2019 Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games NeurIPS 2019 Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces NeurIPS 2019 PyRoboLearn: A Python Framework for Robot Learning Practitioners CoRL 2019 QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning ICML 2019 QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019 Random Projection in Neural Episodic Control ACML 2019 Reachable Space Characterization of Markov Decision Processes with Time Variability RSS 2019 Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps RSS 2019 Real-Time Reinforcement Learning NeurIPS 2019 Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition ACML 2019 Recent Advances in Imitation Learning from Observation IJCAI 2019 Reconciling λ-Returns with Experience Replay NeurIPS 2019 Recurrent Experience Replay in Distributed Reinforcement Learning ICLR 2019