Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning

This work considers two distinct settings: imitation learning and goal-conditioned reinforcement learning. In either case, effective solutions require the agent to reliably reach a specified state (a goal), or set of states (a demonstration). Drawing a connection between probabilistic long-term dyna...

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Veröffentlicht in:	arXiv.org 2020-02
Hauptverfasser:	Schroecker, Yannick, Isbell, Charles
Format:	Artikel
Sprache:	eng
Schlagworte:	Density Learning
Online-Zugang:	Volltext
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