Algorithmic foundations of reinforcement learning

Pareigis, Stephan

doi:10.1007/978-3-031-61418-7_1

Publisher DOI:	10.1007/978-3-031-61418-7_1
Title:	Algorithmic foundations of reinforcement learning
Language:	English
Authors:	Pareigis, Stephan
Editor:	Unger, Herwig Schaible, Marcel
Keywords:	A2C; DDPG; deep reinforcement learning; DQN; dynamic programming; exploration vs exploitation; markov-decision process; MDP; offline reinforcement learning; policy gradient methods; PPO; Q-learning; REINFORCE; reinforcement learning; robotics; SAC; SARSA; sparse rewards
Issue Date:	8-Jun-2024
Publisher:	Springer
Part of Series:	Advances in Real-Time and Autonomous Systems : Proceedings of the 15th International Conference on Autonomous Systems
Journal or Series Name:	Lecture notes in networks and systems
Volume:	1009
Startpage:	1
Endpage:	27
Conference:	International Conference on Autonomous Systems 2023
URI:	https://hdl.handle.net/20.500.12738/16347
ISBN:	978-3-031-61418-7 978-3-031-61417-0 978-3-031-61419-4
ISSN:	2367-3389
Edition / version:	1st ed. 2024
Review status:	This version was peer reviewed (peer review)
Institute:	Department Informatik Fakultät Technik und Informatik
Type:	Chapter/Article (Proceedings)
Appears in Collections:	Publications without full text