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Imitation Learning

337 papers

Papers per year

5
2
39
24
'10
'15
'20
'25

Papers

Learning Beam Search Policies via Imitation Learning NIPS 2018
Learning Safe Policies with Expert Guidance NIPS 2018
Inferring geometric constraints in human demonstrations CORL 2018
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction CORL 2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning CORL 2018
Learning under Misspecified Objective Spaces CORL 2018
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation CORL 2018
Imitation Learning for Neural Morphological String Transduction EMNLP 2018
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach EMNLP 2018
Policy Optimization with Demonstrations ICML 2018
Hierarchical Imitation and Reinforcement Learning ICML 2018
TACO: Learning Task Decomposition via Temporal Alignment for Control ICML 2018
Behavioral Cloning from Observation IJCAI 2018
Improving Reinforcement Learning with Human Input IJCAI 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills RSS 2018
Agile Autonomous Driving using End-to-End Deep Imitation Learning RSS 2018
State Aware Imitation Learning NIPS 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks NIPS 2017
Compatible Reward Inverse Reinforcement Learning NIPS 2017
CARLA: An Open Urban Driving Simulator CORL 2017
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning CORL 2017
DART: Noise Injection for Robust Imitation Learning CORL 2017
Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models CORL 2017
Learning Heuristic Search via Imitation CORL 2017
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations CORL 2017