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Leveraging Procedural Generation to Benchmark Reinforcement Learning

Leveraging Procedural Generation to Benchmark Reinforcement Learning

3 December 2019
K. Cobbe
Christopher Hesse
Jacob Hilton
John Schulman
ArXivPDFHTML

Papers citing "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

50 / 286 papers shown
Title
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning
Abhinav Joshi
Shounak Paul
Akshat Sharma
Pawan Goyal
Saptarshi Ghosh
Ashutosh Modi
AILaw
ELM
34
7
0
07 Jul 2024
Craftium: An Extensible Framework for Creating Reinforcement Learning
  Environments
Craftium: An Extensible Framework for Creating Reinforcement Learning Environments
Mikel Malagón
Josu Ceberio
Jose A. Lozano
52
0
0
04 Jul 2024
RobocupGym: A challenging continuous control benchmark in Robocup
RobocupGym: A challenging continuous control benchmark in Robocup
Michael Beukman
Branden Ingram
Geraud Nangue Tasse
Benjamin Rosman
Pravesh Ranchod
OffRL
43
1
0
03 Jul 2024
The Overcooked Generalisation Challenge
The Overcooked Generalisation Challenge
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
48
4
0
25 Jun 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement
  Learning
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher
Rishabh Agarwal
Yoshinobu Kawahara
OffRL
34
1
0
21 Jun 2024
Discovering Minimal Reinforcement Learning Environments
Discovering Minimal Reinforcement Learning Environments
Jarek Liesen
Chris Xiaoxuan Lu
Andrei Lupu
Jakob N. Foerster
Henning Sprekeler
R. T. Lange
OffRL
54
3
0
18 Jun 2024
Generalisation to unseen topologies: Towards control of biological
  neural network activity
Generalisation to unseen topologies: Towards control of biological neural network activity
Laurens Engwegen
Daan Brinks
Wendelin Bohmer
MedIm
AI4CE
40
0
0
17 Jun 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
Alexander Nikulin
Ilya Zisman
Alexey Zemtsov
Viacheslav Sinii
113
4
0
13 Jun 2024
RRLS : Robust Reinforcement Learning Suite
RRLS : Robust Reinforcement Learning Suite
Adil Zouitine
David Bertoin
Pierre Clavier
Matthieu Geist
Emmanuel Rachelson
OffRL
32
1
0
12 Jun 2024
Explore-Go: Leveraging Exploration for Generalisation in Deep
  Reinforcement Learning
Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning
Max Weltevrede
Felix Kaubek
M. Spaan
Wendelin Bohmer
57
0
0
12 Jun 2024
Investigating Pre-Training Objectives for Generalization in Vision-Based
  Reinforcement Learning
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
Donghu Kim
Hojoon Lee
Kyungmin Lee
Dongyoon Hwang
Jaegul Choo
OffRL
35
1
0
10 Jun 2024
Massively Multiagent Minigames for Training Generalist Agents
Massively Multiagent Minigames for Training Generalist Agents
Kyoung Whan Choe
Ryan Sullivan
Joseph Suárez
AI4CE
34
0
0
07 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
A Bayesian Approach to Online Planning
A Bayesian Approach to Online Planning
Nir Greshler
David Ben-Eli
Carmel Rabinovitz
Gabi Guetta
Liran Gispan
Guy Zohar
Aviv Tamar
23
0
0
04 Jun 2024
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
Arthur Juliani
Jordan T. Ash
OffRL
OnRL
CLL
47
5
0
29 May 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Mingqi Yuan
Roger Creus Castanyer
Bo Li
Xin Jin
Glen Berseth
Wenjun Zeng
40
0
0
29 May 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement
  Learning
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi
Zhiyu Zhang
Heng Yang
34
4
0
26 May 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
43
1
0
20 May 2024
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving
  with Reactive, Realistic, and Diverse Non-Playable Characters
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters
J. Lavington
Ke Zhang
Vasileios Lioutas
Matthew Niedoba
Yunpeng Liu
...
Xiaoxuan Liang
Setareh Dabiri
Adam Scibior
Berend Zwartsenberg
Frank Wood
29
5
0
07 May 2024
Benchmarking Mobile Device Control Agents across Diverse Configurations
Benchmarking Mobile Device Control Agents across Diverse Configurations
Juyong Lee
Taywon Min
Minyong An
Changyeon Kim
Kimin Lee
44
10
0
25 Apr 2024
REACT: Revealing Evolutionary Action Consequence Trajectories for
  Interpretable Reinforcement Learning
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
Philipp Altmann
Céline Davignon
Maximilian Zorn
Fabian Ritz
Claudia Linnhoff-Popien
Thomas Gabor
25
1
0
04 Apr 2024
EnvGen: Generating and Adapting Environments via LLMs for Training
  Embodied Agents
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
Abhaysinh Zala
Jaemin Cho
Han Lin
Jaehong Yoon
Mohit Bansal
36
13
0
18 Mar 2024
LookALike: Human Mimicry based collaborative decision making
LookALike: Human Mimicry based collaborative decision making
Rabimba Karanjai
Weidong Shi
27
0
0
16 Mar 2024
Do Agents Dream of Electric Sheep?: Improving Generalization in
  Reinforcement Learning through Generative Learning
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning
Giorgio Franceschelli
Mirco Musolesi
AI4CE
48
0
0
12 Mar 2024
Video as the New Language for Real-World Decision Making
Video as the New Language for Real-World Decision Making
Sherry Yang
Jacob Walker
Jack Parker-Holder
Yilun Du
Jake Bruce
Andre Barreto
Pieter Abbeel
Dale Schuurmans
VGen
31
46
0
27 Feb 2024
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement
  Learning
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
Michael T. Matthews
Michael Beukman
Benjamin Ellis
Mikayel Samvelyan
Matthew Jackson
Samuel Coward
Jakob Foerster
OffRL
35
26
0
26 Feb 2024
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
Xiao Chen
Quanyi Li
Tai Wang
Tianfan Xue
Jiangmiao Pang
53
8
0
25 Feb 2024
Genie: Generative Interactive Environments
Genie: Generative Interactive Environments
Jake Bruce
Michael Dennis
Ashley D. Edwards
Jack Parker-Holder
Yuge Shi
...
Konrad Zolna
Jeff Clune
Nando de Freitas
Satinder Singh
Tim Rocktaschel
VGen
VLM
74
146
0
23 Feb 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
Gresa Shala
André Biedenkapp
Josif Grabocka
OffRL
40
4
0
09 Feb 2024
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised
  Environment Design
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
Samuel Garcin
James Doran
Shangmin Guo
Christopher G. Lucas
Stefano V. Albrecht
35
7
0
05 Feb 2024
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement
  Learning
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Shengyi Huang
Quentin Gallouedec
Florian Felten
Antonin Raffin
Rousslan Fernand Julien Dossa
...
Alexander Nikulin
Xiao Hu
Tianlin Liu
Jongwook Choi
Brent Yi
OffRL
29
7
0
05 Feb 2024
Augmenting Replay in World Models for Continual Reinforcement Learning
Augmenting Replay in World Models for Continual Reinforcement Learning
Luke Yang
L. Kuhlmann
Gideon Kowadlo
VLM
KELM
CLL
OffRL
36
0
0
30 Jan 2024
AutoRT: Embodied Foundation Models for Large Scale Orchestration of
  Robotic Agents
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
Michael Ahn
Debidatta Dwibedi
Chelsea Finn
Montse Gonzalez Arenas
K. Gopalakrishnan
...
Fei Xia
Ted Xiao
Peng Xu
Steve Xu
Zhuo Xu
LM&Ro
50
53
0
23 Jan 2024
Reinforcement Learning from LLM Feedback to Counteract Goal
  Misgeneralization
Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization
Houda Nait El Barj
Théophile Sautory
27
2
0
14 Jan 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning
A Survey Analyzing Generalization in Deep Reinforcement Learning
Ezgi Korkmaz
OffRL
32
2
0
04 Jan 2024
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement
  Learning?
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
Gunshi Gupta
Tim G. J. Rudner
R. McAllister
Adrien Gaidon
Y. Gal
OffRL
56
3
0
28 Dec 2023
Learning to Act without Actions
Learning to Act without Actions
Dominik Schmidt
Minqi Jiang
OffRL
34
31
0
17 Dec 2023
Improving Environment Robustness of Deep Reinforcement Learning
  Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum
  Learning
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning
Rohan Banerjee
Prishita Ray
Mark Campbell
19
2
0
16 Dec 2023
Active Reinforcement Learning for Robust Building Control
Active Reinforcement Learning for Robust Building Control
Doseok Jang
Larry Yan
Lucas Spangher
C. Spanos
37
1
0
16 Dec 2023
Toward General-Purpose Robots via Foundation Models: A Survey and
  Meta-Analysis
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Yafei Hu
Quanting Xie
Vidhi Jain
Jonathan M Francis
Jay Patrikar
...
Xiaolong Wang
Sebastian A. Scherer
Z. Kira
Fei Xia
Yonatan Bisk
LM&Ro
AI4CE
43
63
0
14 Dec 2023
Improve Robustness of Reinforcement Learning against Observation
  Perturbations via $l_\infty$ Lipschitz Policy Networks
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞l_\inftyl∞​ Lipschitz Policy Networks
Buqing Nie
Jingtian Ji
Yangqing Fu
Yue Gao
45
4
0
14 Dec 2023
How much can change in a year? Revisiting Evaluation in Multi-Agent
  Reinforcement Learning
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
Siddarth S. Singh
Omayma Mahjoub
Ruan de Kock
Wiem Khlifi
Abidine Vall
Kale-ab Tessera
Arnu Pretorius
48
1
0
13 Dec 2023
The Generalization Gap in Offline Reinforcement Learning
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
89
10
0
10 Dec 2023
Generalization to New Sequential Decision Making Tasks with In-Context
  Learning
Generalization to New Sequential Decision Making Tasks with In-Context Learning
Sharath Chandra Raparthy
Eric Hambro
Robert Kirk
Mikael Henaff
Roberta Raileanu
OffRL
111
21
0
06 Dec 2023
Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A
  Case Study
Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study
Karolis Ramanauskas
Özgür Simsek
29
0
0
05 Dec 2023
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for
  Training and Benchmarking Agents that Solve Fuzzy Tasks
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
Stephanie Milani
Anssi Kanervisto
Karolis Ramanauskas
Sander Schulhoff
Brandon Houghton
Rohin Shah
23
7
0
05 Dec 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning
  Education
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
Thomas M. Moerland
Matthias Muller-Brockhausen
Zhao Yang
Andrius Bernatavicius
Koen Ponse
Tom Kouwenhoven
Andreas Sauter
Michiel van der Meer
Bram M. Renting
Aske Plaat
OffRL
31
0
0
17 Nov 2023
C-Procgen: Empowering Procgen with Controllable Contexts
C-Procgen: Empowering Procgen with Controllable Contexts
Zhenxiong Tan
Kaixin Wang
Xinchao Wang
40
0
0
13 Nov 2023
What Makes Pre-Trained Visual Representations Successful for Robust
  Manipulation?
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
Kaylee Burns
Zach Witzel
Jubayer Ibn Hamid
Tianhe Yu
Chelsea Finn
Karol Hausman
OOD
SSL
32
23
0
03 Nov 2023
Enhanced Generalization through Prioritization and Diversity in
  Self-Imitation Reinforcement Learning over Procedural Environments with
  Sparse Rewards
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards
Alain Andres
Daochen Zha
Javier Del Ser
39
0
0
01 Nov 2023
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