Expert Initialized Hybrid Model-Based and Model-Free Reinforcement Learning
Author:
Affiliation:
1. University of Southern Denmark,Maersk McKinney Moller Institute,Odense,Denmark
Funder
Innovation Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10178092/10178115/10178306.pdf?arnumber=10178306
Reference25 articles.
1. Policy gradient methods for reinforcement learning with function approximation;sutton;Proceedings of the 12th International Conference on Neural Information Processing Systems ser NIPS’99,1999
2. Continuous control with deep reinforcement learning;lillicrap,2019
3. A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials
4. The theory of dynamic programming
5. Addressing function approximation error in actor-critic methods;fujimoto,2018
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