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2109.03214
Cited By
Robust Predictable Control
Neural Information Processing Systems (NeurIPS), 2021
7 September 2021
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
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Papers citing
"Robust Predictable Control"
25 / 25 papers shown
Periodic Skill Discovery
Jonghae Park
Daesol Cho
Jusuk Lee
D. Shim
Inkyu Jang
H. J. Kim
440
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05 Nov 2025
Maximum Total Correlation Reinforcement Learning
Bang You
Puze Liu
Huaping Liu
Jan Peters
Oleg Arenz
237
3
0
22 May 2025
Trajectory Entropy Reinforcement Learning for Predictable and Robust Control
Bang You
Chenxu Wang
Huaping Liu
240
2
0
07 May 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning
International Conference on Learning Representations (ICLR), 2025
Jayden Teoh
Pradeep Varakantham
Peter Vamplew
OffRL
357
6
0
02 Mar 2025
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
Neural Information Processing Systems (NeurIPS), 2024
Joseph Ortiz
Antoine Dedieu
Wolfgang Lehrach
Swaroop Guntupalli
Carter Wendelken
Ahmad Humayun
Guangyao Zhou
Sivaramakrishnan Swaminathan
Miguel Lázaro-Gredilla
Kevin P. Murphy
OffRL
309
5
0
26 Sep 2024
Rethinking State Disentanglement in Causal Reinforcement Learning
Haiyao Cao
Zhen Zhang
Panpan Cai
Yuhang Liu
Jinan Zou
Ehsan Abbasnejad
Biwei Huang
Biwei Huang
Anton van den Hengel
Javen Qinfeng Shi
CML
187
0
0
24 Aug 2024
Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning
Max Weltevrede
Felix Kaubek
M. Spaan
Wendelin Bohmer
325
0
0
12 Jun 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
International Conference on Learning Representations (ICLR), 2024
Raj Ghugare
Matthieu Geist
Glen Berseth
Benjamin Eysenbach
OffRL
377
27
0
20 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL
International Conference on Learning Representations (ICLR), 2024
Tianwei Ni
Benjamin Eysenbach
Erfan Seyedsalehi
Michel Ma
Clement Gehring
Aditya Mahajan
Pierre-Luc Bacon
AI4TS
AI4CE
485
48
0
17 Jan 2024
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization
Daniel Jarne Ornia
Giannis Delimpaltadakis
Jens Kober
Javier Alonso-Mora
683
4
0
30 Nov 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Neural Information Processing Systems (NeurIPS), 2023
Michael Beukman
Devon Jarvis
Richard Klein
Steven D. James
Benjamin Rosman
331
23
0
25 Oct 2023
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
Ran Wei
Nathan Lambert
Anthony D. McDonald
Alfredo Garcia
Roberto Calandra
415
9
0
10 Oct 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
Neural Information Processing Systems (NeurIPS), 2023
I. Char
J. Schneider
347
7
0
12 Jul 2023
The Role of Diverse Replay for Generalisation in Reinforcement Learning
Max Weltevrede
M. Spaan
Wendelin Bohmer
OffRL
314
2
0
09 Jun 2023
How Does Information Bottleneck Help Deep Learning?
International Conference on Machine Learning (ICML), 2023
Kenji Kawaguchi
Zhun Deng
Xu Ji
Jiaoyang Huang
246
115
0
30 May 2023
Reinforcement Learning with Simple Sequence Priors
Neural Information Processing Systems (NeurIPS), 2023
Tankred Saanum
N. Éltető
Peter Dayan
Marcel Binz
Eric Schulz
OffRL
215
14
0
26 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Matteo Biagiola
Paolo Tonella
345
35
0
22 May 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
International Conference on Machine Learning (ICML), 2023
Tongzhou Wang
Antonio Torralba
Phillip Isola
Amy Zhang
OffRL
636
84
0
03 Apr 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL
International Conference on Machine Learning (ICML), 2023
Seohong Park
Sergey Levine
313
11
0
08 Feb 2023
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
Conference on Robot Learning (CoRL), 2022
Kuan Fang
Patrick Yin
Ashvin Nair
Homer Walke
Ge Yan
Sergey Levine
OffRL
356
32
0
12 Oct 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning
Kang Xu
Yan Ma
Wei Li
429
0
0
23 Sep 2022
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning
Bang You
Jingming Xie
Youping Chen
Jan Peters
Oleg Arenz
126
3
0
12 Sep 2022
Modeling Human Exploration Through Resource-Rational Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Marcel Binz
Eric Schulz
289
19
0
27 Jan 2022
Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Mustafa O. Karabag
Cyrus Neary
Ufuk Topcu
179
10
0
17 Jan 2022
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk
Amy Zhang
Edward Grefenstette
Tim Rocktaschel
OffRL
870
249
0
18 Nov 2021
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