Regularized Soft Actor-Critic for Behavior Transfer Learning. (arXiv:2209.13224v1 [cs.LG])

Existing imitation learning methods mainly focus on making an agent
effectively mimic a demonstrated behavior, but do not address the potential
contradiction between the behavior style and the objective of a task. There is
a general lack of efficient methods that allow an agent to partially imitate a
demonstrated behavior to varying degrees, while completing the main objective
of a task. In this paper we propose a method called Regularized Soft
Actor-Critic which formulates the main task and the imitation …

actor-critic arxiv behavior transfer transfer learning