ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.14990
  4. Cited By
Partially Observable RL with B-Stability: Unified Structural Condition
  and Sharp Sample-Efficient Algorithms

Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms

29 September 2022
Fan Chen
Yu Bai
Song Mei
ArXivPDFHTML

Papers citing "Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms"

6 / 6 papers shown
Title
Computationally Efficient PAC RL in POMDPs with Latent Determinism and
  Conditional Embeddings
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
43
5
0
24 Jun 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
37
29
0
24 Jun 2022
Efficient Phi-Regret Minimization in Extensive-Form Games via Online
  Mirror Descent
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
Yu Bai
Chi Jin
Song Mei
Ziang Song
Tiancheng Yu
OffRL
34
17
0
30 May 2022
Embed to Control Partially Observed Systems: Representation Learning
  with Provable Sample Efficiency
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
41
15
0
26 May 2022
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form
  Games
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games
Ziang Song
Song Mei
Yu Bai
31
11
0
15 May 2022
Reward-Free Exploration for Reinforcement Learning
Reward-Free Exploration for Reinforcement Learning
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
85
181
0
07 Feb 2020
1