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Variational Bayesian Reinforcement Learning with Regret Bounds

Variational Bayesian Reinforcement Learning with Regret Bounds

25 July 2018
Brendan O'Donoghue
ArXivPDFHTML

Papers citing "Variational Bayesian Reinforcement Learning with Regret Bounds"

10 / 10 papers shown
Title
Toward Efficient Exploration by Large Language Model Agents
Toward Efficient Exploration by Large Language Model Agents
Dilip Arumugam
Thomas L. Griffiths
LLMAG
94
1
0
29 Apr 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
Stefano Viel
Luca Viano
V. Cevher
95
0
0
27 Feb 2025
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
Tong Yang
Bo Dai
Lin Xiao
Yuejie Chi
OffRL
69
2
0
13 Feb 2025
Model-Based Uncertainty in Value Functions
Model-Based Uncertainty in Value Functions
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
41
14
0
24 Feb 2023
On the Power of Pre-training for Generalization in RL: Provable Benefits
  and Hardness
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
Haotian Ye
Xiaoyu Chen
Liwei Wang
S. Du
OffRL
37
6
0
19 Oct 2022
Age of Semantics in Cooperative Communications: To Expedite Simulation
  Towards Real via Offline Reinforcement Learning
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning
Xianfu Chen
Zhifeng Zhao
S. Mao
Celimuge Wu
Honggang Zhang
M. Bennis
OffRL
31
3
0
19 Sep 2022
q-Learning in Continuous Time
q-Learning in Continuous Time
Yanwei Jia
X. Zhou
OffRL
58
70
0
02 Jul 2022
Reinforcement Learning, Bit by Bit
Reinforcement Learning, Bit by Bit
Xiuyuan Lu
Benjamin Van Roy
Vikranth Dwaracherla
M. Ibrahimi
Ian Osband
Zheng Wen
30
70
0
06 Mar 2021
Making Sense of Reinforcement Learning and Probabilistic Inference
Making Sense of Reinforcement Learning and Probabilistic Inference
Brendan O'Donoghue
Ian Osband
Catalin Ionescu
OffRL
29
48
0
03 Jan 2020
Direct Policy Gradients: Direct Optimization of Policies in Discrete
  Action Spaces
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
Guy Lorberbom
Chris J. Maddison
N. Heess
Tamir Hazan
Daniel Tarlow
34
8
0
14 Jun 2019
1