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. 2306.08649
  4. Cited By
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

14 June 2023
Quentin Delfosse
Jannis Blüml
Bjarne Gregori
Sebastian Sztwiertnia
Kristian Kersting
ArXivPDFHTML

Papers citing "OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments"

21 / 21 papers shown
Title
Better Decisions through the Right Causal World Model
Better Decisions through the Right Causal World Model
Elisabeth Dillies
Quentin Delfosse
Jannis Blüml
Raban Emunds
Florian Peter Busch
Kristian Kersting
34
0
0
09 Apr 2025
The Dual-Route Model of Induction
The Dual-Route Model of Induction
Sheridan Feucht
Eric Todd
Byron C. Wallace
David Bau
32
0
0
03 Apr 2025
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Nils Grandien
Quentin Delfosse
Kristian Kersting
OffRL
27
2
0
18 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo
Quentin Delfosse
Devendra Singh Dhami
Kristian Kersting
43
3
0
15 Oct 2024
EXPIL: Explanatory Predicate Invention for Learning in Games
EXPIL: Explanatory Predicate Invention for Learning in Games
Jingyuan Sha
Hikaru Shindo
Quentin Delfosse
Kristian Kersting
Devendra Singh Dhami
25
5
0
10 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual
  Reinforcement Learning
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
Quentin Delfosse
Jannis Blüml
Bjarne Gregori
Kristian Kersting
31
7
0
06 Jun 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement
  Learning
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Hector Kohler
Quentin Delfosse
R. Akrour
Kristian Kersting
Philippe Preux
62
14
0
23 May 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual
  Explanations
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
Lirui Luo
Guoxi Zhang
Hongming Xu
Yaodong Yang
Cong Fang
Qing Li
37
11
0
19 Mar 2024
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
Antonia Wüst
Wolfgang Stammer
Quentin Delfosse
Devendra Singh Dhami
Kristian Kersting
49
13
0
13 Feb 2024
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement
  Learning with Diverse Human Feedback
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
Yifu Yuan
Jianye Hao
Yi Ma
Zibin Dong
Hebin Liang
Jinyi Liu
Zhixin Feng
Kai-Wen Zhao
Yan Zheng
OffRL
ALM
24
14
0
04 Feb 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
55
18
0
11 Jan 2024
Interpretable and Explainable Logical Policies via Neurally Guided
  Symbolic Abstraction
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
Quentin Delfosse
Hikaru Shindo
Devendra Singh Dhami
Kristian Kersting
30
35
0
02 Jun 2023
Boosting Object Representation Learning via Motion and Object Continuity
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse
Wolfgang Stammer
Thomas Rothenbacher
Dwarak Vittal
Kristian Kersting
OCL
49
20
0
16 Nov 2022
Atari-5: Distilling the Arcade Learning Environment down to Five Games
Atari-5: Distilling the Arcade Learning Environment down to Five Games
Matthew Aitchison
Penny Sweetser
Marcus Hutter
50
19
0
05 Oct 2022
Human-level Atari 200x faster
Human-level Atari 200x faster
Steven Kapturowski
Victor Campos
Ray Jiang
Nemanja Rakićević
Hado van Hasselt
Charles Blundell
Adria Puigdomenech Badia
OffRL
52
28
0
15 Sep 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation
  Networks
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
33
17
0
31 Jan 2022
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday
  Household Tasks
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li
Fei Xia
Roberto Martín-Martín
Michael Lingelbach
S. Srivastava
...
Karen Liu
H. Gweon
Jiajun Wu
Li Fei-Fei
Silvio Savarese
LM&Ro
168
224
0
06 Aug 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Quentin Delfosse
P. Schramowski
Martin Mundt
Alejandro Molina
Kristian Kersting
37
14
0
18 Feb 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning
William Agnew
Pedro M. Domingos
OffRL
31
3
0
03 Mar 2020
Learning from the memory of Atari 2600
Learning from the memory of Atari 2600
Jakub Sygnowski
Henryk Michalewski
42
12
0
04 May 2016
1