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Efficient Reinforcement Learning in Block MDPs: A Model-free
  Representation Learning Approach

Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach

31 January 2022
Xuezhou Zhang
Yuda Song
Masatoshi Uehara
Mengdi Wang
Alekh Agarwal
Wen Sun
    OffRL
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Papers citing "Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach"

13 / 13 papers shown
Title
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Alihan Hüyük
A. R. Koblitz
Atefeh Mohajeri
M. Andrews
OffRL
28
0
0
19 Sep 2024
Exploration is Harder than Prediction: Cryptographically Separating
  Reinforcement Learning from Supervised Learning
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning
Noah Golowich
Ankur Moitra
Dhruv Rohatgi
OffRL
30
4
0
04 Apr 2024
Provably Efficient Representation Learning with Tractable Planning in
  Low-Rank POMDP
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
Jiacheng Guo
Zihao Li
Huazheng Wang
Mengdi Wang
Zhuoran Yang
Xuezhou Zhang
30
5
0
21 Jun 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under
  Low-rank MDPs
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
Yuan-Chia Cheng
Ruiquan Huang
J. Yang
Yitao Liang
OffRL
37
8
0
20 Mar 2023
On the Benefits of Leveraging Structural Information in Planning Over
  the Learned Model
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
Jiajun Shen
K. Kuwaranancharoen
R. Ayoub
Pietro Mercati
S. Sundaram
OffRL
14
0
0
15 Mar 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Kaiwen Wang
Nathan Kallus
Wen Sun
97
18
0
07 Feb 2023
Provably Efficient Model-free RL in Leader-Follower MDP with Linear
  Function Approximation
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation
A. Ghosh
15
2
0
28 Nov 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control
Xiang Zheng
Xingjun Ma
Cong Wang
26
1
0
28 Nov 2022
Scalable Representation Learning in Linear Contextual Bandits with
  Constant Regret Guarantees
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Andrea Tirinzoni
Matteo Papini
Ahmed Touati
A. Lazaric
Matteo Pirotta
21
4
0
24 Oct 2022
Provably Efficient Reinforcement Learning in Partially Observable
  Dynamical Systems
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
OffRL
49
31
0
24 Jun 2022
Provable Benefits of Representational Transfer in Reinforcement Learning
Provable Benefits of Representational Transfer in Reinforcement Learning
Alekh Agarwal
Yuda Song
Wen Sun
Kaiwen Wang
Mengdi Wang
Xuezhou Zhang
OffRL
16
33
0
29 May 2022
Representation Learning for Online and Offline RL in Low-rank MDPs
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara
Xuezhou Zhang
Wen Sun
OffRL
48
125
0
09 Oct 2021
Model-free Representation Learning and Exploration in Low-rank MDPs
Model-free Representation Learning and Exploration in Low-rank MDPs
Aditya Modi
Jinglin Chen
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
OffRL
98
78
0
14 Feb 2021
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