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Going Beyond Linear RL: Sample Efficient Neural Function Approximation
14 July 2021
Baihe Huang
Kaixuan Huang
Sham Kakade
Jason D. Lee
Qi Lei
Runzhe Wang
Jiaqi Yang
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Papers citing
"Going Beyond Linear RL: Sample Efficient Neural Function Approximation"
7 / 57 papers shown
Title
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
111
840
0
11 Oct 2016
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
325
13,272
0
09 Sep 2015
Tensor Factorization via Matrix Factorization
Volodymyr Kuleshov
Arun Tejasvi Chaganty
Percy Liang
105
86
0
29 Jan 2015
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,265
0
19 Dec 2013
Efficient Reinforcement Learning in Deterministic Systems with Value Function Generalization
Zheng Wen
Benjamin Van Roy
65
43
0
18 Jul 2013
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband
Daniel Russo
Benjamin Van Roy
129
535
0
04 Jun 2013
Online Learning via Sequential Complexities
Alexander Rakhlin
Karthik Sridharan
Ambuj Tewari
114
104
0
06 Jun 2010
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