Agent Systems

Multi-Agent Adversarial Inverse Reinforcement Learning ICML 2019 Multiple Policy Value Monte Carlo Tree Search IJCAI 2019 Multi-View Reinforcement Learning NeurIPS 2019 Near-Optimal Representation Learning for Hierarchical Reinforcement Learning ICLR 2019 Neural Program Repair by Jointly Learning to Localize and Repair ICLR 2019 Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration CVPR 2019 Online Control with Adversarial Disturbances ICML 2019 Online Non-Additive Path Learning under Full and Partial Information ALT 2019 Online Probabilistic Goal Recognition over Nominal Models IJCAI 2019 Optimal Policies for Observing Time Series and Related Restless Bandit Problems JMLR 2019 Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration CoRL 2019 Park: An Open Platform for Learning-Augmented Computer Systems NeurIPS 2019 Performance Guarantees for Homomorphisms beyond Markov Decision Processes AAAI 2019 Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP) AAAI 2019 Perturbed-History Exploration in Stochastic Multi-Armed Bandits IJCAI 2019 PHYRE: A New Benchmark for Physical Reasoning NeurIPS 2019 Planning with State Abstractions for Non-Markovian Task Specifications RSS 2019 Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning IJCAI 2019 Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning NAACL 2019 Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019 Policy Transfer with Strategy Optimization ICLR 2019 Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following ACL 2019 Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces AAAI 2019 Probabilistic Model Checking of Robots Deployed in Extreme Environments AAAI 2019 PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules EMNLP 2019