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Imitation Learning

332 directly classified papers

Papers per year

Papers

Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020
CoMic: Complementary Task Learning & Mimicry for Reusable Skills ICML 2020
Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020
Fighting Copycat Agents in Behavioral Cloning from Observation Histories NIPS 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos RSS 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization ICML 2020
An Imitation Game for Learning Semantic Parsers from User Interaction EMNLP 2020
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation CVPR 2020
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving AAAI 2020
Hierarchically Decoupled Imitation For Morphological Transfer ICML 2020
Domain Adaptive Imitation Learning ICML 2020
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning ICML 2020
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations CORL 2019
Exploring Computational User Models for Agent Policy Summarization IJCAI 2019
Imitation Learning from Video by Leveraging Proprioception IJCAI 2019
Recent Advances in Imitation Learning from Observation IJCAI 2019
Hybrid system identification using switching density networks CORL 2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks CORL 2019
Provably Efficient Imitation Learning from Observation Alone ICML 2019
Learning to Plan with Logical Automata RSS 2019
Inverting Learned Dynamics Models for Aggressive Multirotor Control RSS 2019
Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems AAAI 2019
Leveraging Observations in Bandits: Between Risks and Benefits AAAI 2019
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution AAAI 2019
OIL: Observational Imitation Learning RSS 2019