A differential dynamic programming framework for inverse reinforcement learning

A differential dynamic programming framework for inverse reinforcement learning

A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and constraints from demonstrations. Different from existing work, where DDP was used for the inner forward problem with...

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書目詳細資料
Main Authors:	Cao, Kun, Xu, Xinhang, Jin, Wanxin, Johansson, Karl H., Xie, Lihua
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2025
主題:	Engineering Inverse reinforcement learning Constrained optimal control
在線閱讀:	https://hdl.handle.net/10356/181965 http://arxiv.org/abs/2407.19902v1
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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