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cs.AI2024
Tell me why: Training preferences-based RL with human preferences and step-level explanations
Jakob Karalus
Human-in-the-loop reinforcement learning allows the training of agents through various interfaces, even for non-expert humans. Recently, preference-based methods (PbRL), where the…
cs.AI2021★ 1 cited
Accelerating the Learning of TAMER with Counterfactual Explanations
Jakob Karalus, Felix Lindner
The capability to interactively learn from human feedback would enable agents in new settings. For example, even novice users could train service robots in new tasks naturally and…