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Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov
  Decision Processes

Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes

26 January 2022
Andrew Wagenmaker
Yifang Chen
Max Simchowitz
S. Du
Kevin Jamieson
ArXivPDFHTML

Papers citing "Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes"

12 / 12 papers shown
Title
The Statistical Complexity of Interactive Decision Making
The Statistical Complexity of Interactive Decision Making
Dylan J. Foster
Sham Kakade
Jian Qian
Alexander Rakhlin
59
177
0
27 Dec 2021
Bilinear Classes: A Structural Framework for Provable Generalization in
  RL
Bilinear Classes: A Structural Framework for Provable Generalization in RL
S. Du
Sham Kakade
Jason D. Lee
Shachar Lovett
G. Mahajan
Wen Sun
Ruosong Wang
OffRL
65
189
0
19 Mar 2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov
  Decision Processes
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes
Dongruo Zhou
Quanquan Gu
Csaba Szepesvári
49
205
0
15 Dec 2020
Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable
  Optimal Action-Value Functions
Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions
Gellert Weisz
Philip Amortila
Csaba Szepesvári
OffRL
53
80
0
03 Oct 2020
Provably Efficient Reward-Agnostic Navigation with Linear Value
  Iteration
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
Andrea Zanette
A. Lazaric
Mykel J. Kochenderfer
Emma Brunskill
45
64
0
18 Aug 2020
Provably Efficient Reinforcement Learning for Discounted MDPs with
  Feature Mapping
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou
Jiafan He
Quanquan Gu
35
134
0
23 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank
  MDPs
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
Alekh Agarwal
Sham Kakade
A. Krishnamurthy
Wen Sun
OffRL
59
224
0
18 Jun 2020
Model-Based Reinforcement Learning with Value-Targeted Regression
Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub
Zeyu Jia
Csaba Szepesvári
Mengdi Wang
Lin F. Yang
OffRL
67
301
0
01 Jun 2020
Optimism in Reinforcement Learning with Generalized Linear Function
  Approximation
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang
Ruosong Wang
S. Du
A. Krishnamurthy
146
135
0
09 Dec 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning
  without Domain Knowledge using Value Function Bounds
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds
Andrea Zanette
Emma Brunskill
OffRL
78
273
0
01 Jan 2019
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement
  Learning
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann
Tor Lattimore
Emma Brunskill
41
307
0
22 Mar 2017
On the Complexity of Bandit and Derivative-Free Stochastic Convex
  Optimization
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization
Ohad Shamir
88
191
0
11 Sep 2012
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