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Provably Efficient Offline Goal-Conditioned Reinforcement Learning with
  General Function Approximation and Single-Policy Concentrability

Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability

7 February 2023
Hanlin Zhu
Amy Zhang
    OffRL
ArXivPDFHTML

Papers citing "Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability"

5 / 5 papers shown
Title
Efficient Prompt Caching via Embedding Similarity
Efficient Prompt Caching via Embedding Similarity
Hanlin Zhu
Banghua Zhu
Jiantao Jiao
RALM
23
9
0
02 Feb 2024
On Representation Complexity of Model-based and Model-free Reinforcement
  Learning
On Representation Complexity of Model-based and Model-free Reinforcement Learning
Hanlin Zhu
Baihe Huang
Stuart Russell
OffRL
33
3
0
03 Oct 2023
Optimal Conservative Offline RL with General Function Approximation via
  Augmented Lagrangian
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
Paria Rashidinejad
Hanlin Zhu
Kunhe Yang
Stuart J. Russell
Jiantao Jiao
OffRL
41
26
0
01 Nov 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
96
144
0
13 Jul 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
1