Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control

ICLR 2018 • Glen Berseth • Cheng Xie • Paul Cernek • Michiel Van de Panne

Deep reinforcement learning has demonstrated increasing capabilities for continuous control problems, including agents that can move with skill and agility through their environment. An open problem in this setting is that of developing good strategies for integrating or merging policies for multiple skills, where each individual skill is a specialist in a specific skill and its associated state distribution... (read more)

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