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Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm

Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm

Yasin Abbasi-Yadkori
Csaba Szepesvári
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Papers citing "Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm"

4 / 4 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
99
3
0
29 Apr 2025
Bayesian Reinforcement Learning with Limited Cognitive Load
Bayesian Reinforcement Learning with Limited Cognitive Load
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
OffRL
42
8
0
05 May 2023
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
47
4
0
30 Oct 2022
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
Mukul Gagrani
Sagar Sudhakara
Aditya Mahajan
Rahul Jain
Yi Ouyang
41
6
0
19 Aug 2021