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. 2006.08684
  4. Cited By
Efficient Model-Based Reinforcement Learning through Optimistic Policy
  Search and Planning

Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning

15 June 2020
Sebastian Curi
Felix Berkenkamp
Andreas Krause
ArXivPDFHTML

Papers citing "Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning"

12 / 12 papers shown
Title
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
Jasmine Bayrooti
Carl Henrik Ek
Amanda Prorok
37
0
0
07 Oct 2024
Ensemble sampling for linear bandits: small ensembles suffice
Ensemble sampling for linear bandits: small ensembles suffice
David Janz
A. Litvak
Csaba Szepesvári
19
2
0
14 Nov 2023
Distributionally Robust Model-based Reinforcement Learning with Large
  State Spaces
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
Shyam Sundhar Ramesh
Pier Giuseppe Sessa
Yifan Hu
Andreas Krause
Ilija Bogunovic
OOD
31
10
0
05 Sep 2023
Model-Based Uncertainty in Value Functions
Model-Based Uncertainty in Value Functions
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
28
13
0
24 Feb 2023
Safe Reinforcement Learning via Confidence-Based Filters
Safe Reinforcement Learning via Confidence-Based Filters
Sebastian Curi
Armin Lederer
Sandra Hirche
Andreas Krause
OffRL
6
4
0
04 Jul 2022
Gradient-Based Trajectory Optimization With Learned Dynamics
Gradient-Based Trajectory Optimization With Learned Dynamics
Bhavya Sukhija
Nathanael Kohler
Miguel Zamora
Simon Zimmermann
Sebastian Curi
Andreas Krause
Stelian Coros
15
9
0
09 Apr 2022
User-Oriented Robust Reinforcement Learning
User-Oriented Robust Reinforcement Learning
Haoyi You
Beichen Yu
Haiming Jin
Zhaoxing Yang
Jiahui Sun
OffRL
19
0
0
15 Feb 2022
Representation Learning for Online and Offline RL in Low-rank MDPs
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara
Xuezhou Zhang
Wen Sun
OffRL
48
125
0
09 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
28
91
0
14 Sep 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based
  Deep Reinforcement Learning
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
Sebastian Curi
Ilija Bogunovic
Andreas Krause
19
17
0
18 Mar 2021
Information Theoretic Regret Bounds for Online Nonlinear Control
Information Theoretic Regret Bounds for Online Nonlinear Control
Sham Kakade
A. Krishnamurthy
Kendall Lowrey
Motoya Ohnishi
Wen Sun
26
117
0
22 Jun 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
1