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Reinforcement Learning with History-Dependent Dynamic Contexts

Reinforcement Learning with History-Dependent Dynamic Contexts

4 February 2023
Guy Tennenholtz
Nadav Merlis
Lior Shani
Martin Mladenov
Craig Boutilier
    AI4CE
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Papers citing "Reinforcement Learning with History-Dependent Dynamic Contexts"

5 / 5 papers shown
Title
Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis
Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis
Mohsen Amiri
Sindri Magnússon
51
0
0
24 Mar 2025
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement
  Learning
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
Anthony Liang
Guy Tennenholtz
Chih-Wei Hsu
Yinlam Chow
Erdem Biyik
Craig Boutilier
OffRL
38
1
0
25 Feb 2024
Anytime-Competitive Reinforcement Learning with Policy Prior
Anytime-Competitive Reinforcement Learning with Policy Prior
Jianyi Yang
Pengfei Li
Tongxin Li
Adam Wierman
Shaolei Ren
40
2
0
02 Nov 2023
Ranking with Popularity Bias: User Welfare under Self-Amplification
  Dynamics
Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics
Guy Tennenholtz
Martin Mladenov
Nadav Merlis
Robert L. Axtell
Craig Boutilier
6
0
0
24 May 2023
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
Marc Abeille
Louis Faury
Clément Calauzènes
96
37
0
23 Oct 2020
1