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2110.02439
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Replay-Guided Adversarial Environment Design
6 October 2021
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
Re-assign community
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Papers citing
"Replay-Guided Adversarial Environment Design"
50 / 88 papers shown
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0
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Michael Amir
Amanda Prorok
337
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Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
Georgios Tzannetos
Parameswaran Kamalaruban
Adish Singla
212
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04 Nov 2025
Automating Benchmark Design
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Harit Vishwakarma
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Justin Bauer
Derek Pham
Thomas Walshe
Armin Parchami
Frederic Sala
P. Varma
167
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0
28 Oct 2025
Pruning Cannot Hurt Robustness: Certified Trade-offs in Reinforcement Learning
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Benjamin Etheridge
Stephen J. Roberts
Francesco Quinzan
OffRL
AAML
159
0
0
14 Oct 2025
Bootstrapping Task Spaces for Self-Improvement
Minqi Jiang
Andrei Lupu
Yoram Bachrach
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248
6
0
04 Sep 2025
Towards Agent-based Test Support Systems: An Unsupervised Environment Design Approach
Collins O.Ogbodo
Timothy J. Rogers
Mattia Dal Borgo
David J. Wagg
151
0
0
19 Aug 2025
RLNVR: Reinforcement Learning from Non-Verified Real-World Rewards
Rohit Krishnan
Jon Evans
OffRL
50
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0
16 Aug 2025
Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL
Ahmed Abouelazm
Johannes Ratz
Philip Schorner
J. M. Zöllner
277
0
0
25 Jul 2025
TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design
Geonwoo Cho
Jaegyun Im
Jihwan Lee
Hojun Yi
Sejin Kim
Sundong Kim
298
0
0
24 Jun 2025
ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real
Youwei Yu
Junhong Xu
Lantao Liu
391
2
0
02 Jun 2025
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Caroline Wang
Arrasy Rahman
Jiaxun Cui
Yoonchang Sung
Peter Stone
459
4
0
29 May 2025
An Optimisation Framework for Unsupervised Environment Design
Nathan Monette
Alistair Letcher
Michael Beukman
Matthew Jackson
Alexander Rutherford
Alexander David Goldie
Jakob N. Foerster
395
5
0
27 May 2025
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Ahmed Abouelazm
Tim Weinstein
Tim Joseph
Philip Schorner
J. M. Zöllner
448
1
0
13 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
Wenjie Wang
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
605
10
0
27 Apr 2025
Improving Human-AI Coordination through Online Adversarial Training and Generative Models
Paresh Chaudhary
Yancheng Liang
Daphne Chen
S. Du
Natasha Jaques
545
2
0
21 Apr 2025
Automatic Curriculum Design for Zero-Shot Human-AI Coordination
IEEE Access (IEEE Access), 2025
Won-Sang You
Tae-Gwan Ha
Seo-Young Lee
Kyung-Joong Kim
492
0
0
10 Mar 2025
Training a Generally Curious Agent
Fahim Tajwar
Yiding Jiang
Abitha Thankaraj
Sumaita Sadia Rahman
J. Zico Kolter
Jeff Schneider
Ruslan Salakhutdinov
654
20
0
24 Feb 2025
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Adaptive Agents and Multi-Agent Systems (AAMAS), 2025
Vincent Hsiao
Mark Roberts
Laura M. Hiatt
George Konidaris
Dana Nau
342
0
0
21 Feb 2025
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
Neural Information Processing Systems (NeurIPS), 2025
Jayden Teoh
Wenjun Li
Pradeep Varakantham
310
4
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08 Feb 2025
Reinforcement Teaching
Alex Lewandowski
Calarina Muslimani
Dale Schuurmans
Matthew E. Taylor
Jun Luo
516
2
0
28 Jan 2025
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
Neural Information Processing Systems (NeurIPS), 2024
Robby Costales
Stefanos Nikolaidis
AI4CE
251
2
0
07 Nov 2024
Eurekaverse: Environment Curriculum Generation via Large Language Models
Conference on Robot Learning (CoRL), 2024
William Liang
Sam Wang
Hung-Ju Wang
Osbert Bastani
Dinesh Jayaraman
Yecheng Jason Ma
SyDa
408
5
0
04 Nov 2024
Scalable Reinforcement Post-Training Beyond Static Human Prompts: Evolving Alignment via Asymmetric Self-Play
Ziyu Ye
Rishabh Agarwal
Tianqi Liu
Rishabh Joshi
Sarmishta Velury
Quoc Le
Qijun Tan
Yating Liu
378
5
0
31 Oct 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
International Conference on Learning Representations (ICLR), 2024
Michael T. Matthews
Michael Beukman
Chris Xiaoxuan Lu
Jakob Foerster
OffRL
AI4CE
440
27
0
30 Oct 2024
Environment as Policy: Learning to Race in Unseen Tracks
IEEE International Conference on Robotics and Automation (ICRA), 2024
Hongze Wang
Jiaxu Xing
Nico Messikommer
Davide Scaramuzza
522
10
0
29 Oct 2024
Adversarial Environment Design via Regret-Guided Diffusion Models
Neural Information Processing Systems (NeurIPS), 2024
Hojun Chung
Junseo Lee
Minsoo Kim
Dohyeong Kim
Songhwai Oh
449
8
0
25 Oct 2024
AFlow: Automating Agentic Workflow Generation
International Conference on Learning Representations (ICLR), 2024
Jiayi Zhang
Jinyu Xiang
Quan Shi
Xinbing Liang
Xionghui Chen
...
Jinlin Wang
Bingnan Zheng
Bang Liu
Yuyu Luo
Chenglin Wu
AIFin
AI4CE
451
6
0
14 Oct 2024
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
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Zaid Khan
Elias Stengel-Eskin
Jaemin Cho
Joey Tianyi Zhou
VGen
545
11
0
08 Oct 2024
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
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Paul Jansonnie
Bingbing Wu
Julien Perez
Jan Peters
SSL
381
3
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07 Oct 2024
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
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Alexander Rutherford
Michael Beukman
Timon Willi
Bruno Lacerda
Nick Hawes
Jakob Foerster
428
26
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27 Aug 2024
The Overcooked Generalisation Challenge: Evaluating Cooperation with Novel Partners in Unknown Environments Using Unsupervised Environment Design
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
523
13
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Massively Multiagent Minigames for Training Generalist Agents
Kyoung Whan Choe
Ryan Sullivan
Joseph Suárez
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297
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Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
Jonathan Cook
Chris Xiaoxuan Lu
Edward Hughes
Joel Z Leibo
Jakob N. Foerster
308
9
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01 Jun 2024
Word2World: Generating Stories and Worlds through Large Language Models
Muhammad Umair Nasir
Steven D. James
Julian Togelius
350
23
0
06 May 2024
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Georgios Tzannetos
Parameswaran Kamalaruban
Adish Singla
276
9
0
03 May 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Axel Brunnbauer
Luigi Berducci
P. Priller
D. Ničković
Radu Grosu
443
3
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26 Mar 2024
JaxUED: A simple and useable UED library in Jax
Samuel Coward
Michael Beukman
Jakob Foerster
245
11
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EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
Abhaysinh Zala
Jaemin Cho
Han Lin
Jaehong Yoon
Mohit Bansal
336
31
0
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Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
International Conference on Machine Learning (ICML), 2024
Onur Celik
Aleksandar Taranovic
Gerhard Neumann
397
19
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Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
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Sharath Chandra Raparthy
Andrei Lupu
Eric Hambro
Aram H. Markosyan
...
Minqi Jiang
Jack Parker-Holder
Jakob Foerster
Tim Rocktaschel
Roberta Raileanu
SyDa
306
174
0
26 Feb 2024
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
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Michael Beukman
Benjamin Ellis
Mikayel Samvelyan
Matthew Jackson
Samuel Coward
Jakob Foerster
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468
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Refining Minimax Regret for Unsupervised Environment Design
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Samuel Coward
Michael T. Matthews
Mattie Fellows
Minqi Jiang
Michael Dennis
Jakob Foerster
396
15
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19 Feb 2024
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
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James Doran
Shangmin Guo
Christopher G. Lucas
Stefano V. Albrecht
569
14
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Davide Paglieri
Minqi Jiang
Jack Parker-Holder
Tim Rocktaschel
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364
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Chai Quek
Zinovi Rabinovich
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265
0
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Mark Campbell
257
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Larry Yan
Lucas Spangher
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267
8
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Qingfei You
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Roberta Raileanu
OffRL
542
24
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Jimmy Ho
Pradeep Varakantham
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170
1
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