Sample effficient deep reinforcement learning for control

Tim de Bruin

Research output: Thesis › Dissertation (TU Delft)

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2016
Improved deep reinforcement learning for robotics through distribution-based experience retention
de Bruin, T., Kober, J., Tuyls, K. & Babuska, R., 2016, Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): IROS 2016. Kwon, D-S., Kang, C-G. & Suh, I. H. (eds.). Piscataway, NJ, USA: IEEE, p. 3947-3952
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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29 Citations (Scopus)

88 Downloads (Pure)
Off-policy experience retention for deep actor-critic learning
de Bruin, T., Kober, J., Tuyls, K. P. & Babuska, R., 2016, Deep Reinforcement Learning Workshop, NIPS 2016 - December 9, 2016. 9 p.
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
2015
The importance of experience replay database composition in deep reinforcement learning
de Bruin, T., Kober, J., Tuyls, K. P. & Babuska, R., 2015, Deep Reinforcement Learning Workshop, NIPS 2015. 9 p.
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Research output