inverse reinforcement learning

Task Transfer by Preference-Based Cost Learning AAAI 2019 Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration IJCAI 2019 Truly Batch Apprenticeship Learning with Deep Successor Features IJCAI 2019 Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow ICLR 2019 Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations ICML 2018 Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories CoRL 2018 Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling JMLR 2018 Learning Deep Mean Field Games for Modeling Large Population Behavior ICLR 2018 Learning Robust Rewards with Adverserial Inverse Reinforcement Learning ICLR 2018 Learning Temporal Point Processes via Reinforcement Learning NeurIPS 2018 Learning under Misspecified Objective Spaces CoRL 2018 Lifelong Inverse Reinforcement Learning NeurIPS 2018 Multi-Agent Generative Adversarial Imitation Learning NeurIPS 2018 Occam's razor is insufficient to infer the preferences of irrational agents NeurIPS 2018 Paraphrase Generation with Deep Reinforcement Learning EMNLP 2018 Preference Learning in Assistive Robotics: Observational Repeated Inverse Reinforcement Learning MLHC 2018 Risk-Aware Active Inverse Reinforcement Learning CoRL 2018 Simplifying Reward Design through Divide-and-Conquer RSS 2018 Teaching Inverse Reinforcement Learners via Features and Demonstrations NeurIPS 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018 Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition NeurIPS 2018 Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior NeurIPS 2018 Active Preference-Based Learning of Reward Functions RSS 2017 Compatible Reward Inverse Reinforcement Learning NeurIPS 2017 Enabling Robots to Communicate Their Objectives RSS 2017