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1911.00617
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Explicit Explore-Exploit Algorithms in Continuous State Spaces
Neural Information Processing Systems (NeurIPS), 2019
1 November 2019
Mikael Henaff
OffRL
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Papers citing
"Explicit Explore-Exploit Algorithms in Continuous State Spaces"
24 / 24 papers shown
Grounding Video Models to Actions through Goal Conditioned Exploration
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Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
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380
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Beyond Optimism: Exploration With Partially Observable Rewards
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216
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Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
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Adam Jelley
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Amos Storkey
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263
7
0
09 Oct 2023
Reward Model Ensembles Help Mitigate Overoptimization
International Conference on Learning Representations (ICLR), 2023
Thomas Coste
Usman Anwar
Robert Kirk
David M. Krueger
NoLa
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333
181
0
04 Oct 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
International Conference on Machine Learning (ICML), 2023
Mikael Henaff
Minqi Jiang
Roberta Raileanu
185
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0
05 Jun 2023
What model does MuZero learn?
European Conference on Artificial Intelligence (ECAI), 2023
Jinke He
Thomas M. Moerland
F. Oliehoek
333
5
0
01 Jun 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Mhairi Dunion
Trevor A. McInroe
K. Luck
Josiah P. Hanna
Stefano V. Albrecht
OOD
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220
30
0
23 May 2023
Planning Goals for Exploration
International Conference on Learning Representations (ICLR), 2023
E. Hu
Richard Chang
Oleh Rybkin
Dinesh Jayaraman
217
30
0
23 Mar 2023
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
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248
2
0
23 Mar 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
International Conference on Machine Learning (ICML), 2022
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
246
6
0
18 Nov 2022
Exploration in Deep Reinforcement Learning: A Survey
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Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
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309
493
0
02 May 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Haichao Zhang
Wei Xu
Haonan Yu
246
11
0
24 Jan 2022
Multi-Stage Episodic Control for Strategic Exploration in Text Games
International Conference on Learning Representations (ICLR), 2022
Jens Tuyls
Shunyu Yao
Sham Kakade
Karthik Narasimhan
296
29
0
04 Jan 2022
Explicit Explore, Exploit, or Escape (
E
4
E^4
E
4
): near-optimal safety-constrained reinforcement learning in polynomial time
Machine-mediated learning (ML), 2021
David M. Bossens
Nick Bishop
277
8
0
14 Nov 2021
Adaptive Discretization in Online Reinforcement Learning
Operational Research (OR), 2021
Sean R. Sinclair
Siddhartha Banerjee
Chao Yu
OffRL
252
20
0
29 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy
Qiang Wang
S. Redmond
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247
16
0
05 Oct 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
Conference on Robot Learning (CoRL), 2020
Tim Seyde
Wilko Schwarting
S. Karaman
Daniela Rus
262
15
0
27 Oct 2020
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
Priyank Agrawal
Jinglin Chen
Nan Jiang
315
22
0
23 Oct 2020
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
Neural Information Processing Systems (NeurIPS), 2020
Alekh Agarwal
Mikael Henaff
Sham Kakade
Wen Sun
OffRL
267
119
0
16 Jul 2020
Adaptive Discretization for Model-Based Reinforcement Learning
Sean R. Sinclair
Tianyu Wang
Gauri Jain
Siddhartha Banerjee
Chao Yu
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230
24
0
01 Jul 2020
Meta-Model-Based Meta-Policy Optimization
Asian Conference on Machine Learning (ACML), 2020
Takuya Hiraoka
Takahisa Imagawa
Voot Tangkaratt
Takayuki Osa
Takashi Onishi
Yoshimasa Tsuruoka
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407
9
0
04 Jun 2020
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
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335
468
0
12 May 2020
Ready Policy One: World Building Through Active Learning
International Conference on Machine Learning (ICML), 2020
Philip J. Ball
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
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227
52
0
07 Feb 2020
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