Imitation Learning

Learning Safe Policies with Expert Guidance NeurIPS 2018 Learning Task Specifications from Demonstrations NeurIPS 2018 Learning under Misspecified Objective Spaces CoRL 2018 Lifelong Inverse Reinforcement Learning NeurIPS 2018 Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction CoRL 2018 Maximum Causal Tsallis Entropy Imitation Learning NeurIPS 2018 Policy Optimization by Genetic Distillation ICLR 2018 Policy Optimization with Demonstrations ICML 2018 Reinforcement and Imitation Learning for Diverse Visuomotor Skills RSS 2018 Reward learning from human preferences and demonstrations in Atari NeurIPS 2018 ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation CoRL 2018 TACO: Learning Task Decomposition via Temporal Alignment for Control ICML 2018 Teaching Inverse Reinforcement Learners via Features and Demonstrations NeurIPS 2018 Adaptive Information Gathering via Imitation Learning RSS 2017 CARLA: An Open Urban Driving Simulator CoRL 2017 Compatible Reward Inverse Reinforcement Learning NeurIPS 2017 DART: Noise Injection for Robust Imitation Learning CoRL 2017 DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations CoRL 2017 Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction ICML 2017 From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood ACL 2017 Imitation learning for structured prediction in natural language processing EACL 2017 Learning Constrained Generalizable Policies by Demonstration RSS 2017 Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences CoRL 2017 Learning Heuristic Search via Imitation CoRL 2017 Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models CoRL 2017