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Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces

Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces

Bogdan Mazoure
T. Doan
Tianyu Li
V. Makarenkov
Joelle Pineau
Doina Precup
Guillaume Rabusseau
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Papers citing "Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces"

4 / 4 papers shown
Title
On a Formal Model of Safe and Scalable Self-driving Cars
On a Formal Model of Safe and Scalable Self-driving Cars
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
33
736
0
21 Aug 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
177
5,056
0
05 Jun 2016
Policy Distillation
Policy Distillation
Andrei A. Rusu
Sergio Gomez Colmenarejo
Çağlar Gülçehre
Guillaume Desjardins
J. Kirkpatrick
Razvan Pascanu
Volodymyr Mnih
Koray Kavukcuoglu
R. Hadsell
53
687
0
19 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
202
13,174
0
09 Sep 2015

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