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Explicit Explore-Exploit Algorithms in Continuous State Spaces

Explicit Explore-Exploit Algorithms in Continuous State Spaces

1 November 2019
Mikael Henaff
    OffRL
ArXivPDFHTML

Papers citing "Explicit Explore-Exploit Algorithms in Continuous State Spaces"

12 / 12 papers shown
Title
Grounding Video Models to Actions through Goal Conditioned Exploration
Grounding Video Models to Actions through Goal Conditioned Exploration
Yunhao Luo
Yilun Du
LM&Ro
VGen
85
1
0
11 Nov 2024
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement
  Learning
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
Trevor A. McInroe
Adam Jelley
Stefano V. Albrecht
Amos Storkey
OffRL
OnRL
25
6
0
09 Oct 2023
Conditional Mutual Information for Disentangled Representations in
  Reinforcement Learning
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Mhairi Dunion
Trevor A. McInroe
K. Luck
Josiah P. Hanna
Stefano V. Albrecht
OOD
DRL
22
17
0
23 May 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 2022
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
23
324
0
02 May 2022
Generative Planning for Temporally Coordinated Exploration in
  Reinforcement Learning
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
Haichao Zhang
Wei-ping Xu
Haonan Yu
38
10
0
24 Jan 2022
Adaptive Discretization in Online Reinforcement Learning
Adaptive Discretization in Online Reinforcement Learning
Sean R. Sinclair
Siddhartha Banerjee
Chao Yu
OffRL
40
15
0
29 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for
  Sparse Reward Tasks
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy
Qiang Wang
S. Redmond
OffRL
27
15
0
05 Oct 2021
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value
  Iteration
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
Priyank Agrawal
Jinglin Chen
Nan Jiang
27
18
0
23 Oct 2020
Adaptive Discretization for Model-Based Reinforcement Learning
Adaptive Discretization for Model-Based Reinforcement Learning
Sean R. Sinclair
Tianyu Wang
Gauri Jain
Siddhartha Banerjee
Chao Yu
OffRL
11
21
0
01 Jul 2020
Planning to Explore via Self-Supervised World Models
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
SSL
27
397
0
12 May 2020
Ready Policy One: World Building Through Active Learning
Ready Policy One: World Building Through Active Learning
Philip J. Ball
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
OffRL
32
49
0
07 Feb 2020
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