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Found 3 papers, 1 papers with code
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
Learning from Demonstration (LfD) approaches empower end-users to teach robots novel tasks via demonstrations of the desired behaviors, democratizing access to robotics.
Unified State Representation Learning under Data Augmentation
The capacity for rapid domain adaptation is important to increasing the applicability of reinforcement learning (RL) to real world problems.
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration
Learning from Demonstration (LfD) approaches empower end-users to teach robots novel tasks via demonstrations of the desired behaviors, democratizing access to robotics.
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