Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

3 December 2020

Papers citing "Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design"

50 / 65 papers shown

Title
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning Ahmed Abouelazm Tim Weinstein Tim Joseph Philip Schorner J. M. Zöllner 32 0 0 13 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Luu Anh Tuan Yixiu Mao Yiqin Lv Xiangyang Ji TTA 90 0 0 27 Apr 2025
Improving Human-AI Coordination through Adversarial Training and Generative Models Paresh Chaudhary Yancheng Liang Daphne Chen S. Du Natasha Jaques 66 0 0 21 Apr 2025
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination Kunal Jha Wilka Carvalho Yancheng Liang S. Du Max Kleiman-Weiner Natasha Jaques 27 0 0 17 Apr 2025
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 61 3 0 21 Mar 2025
A Generalist Hanabi Agent Arjun Vaithilingam Sudhakar Hadi Nekoei Mathieu Reymond Miao Liu Janarthanan Rajendran Sarath Chandar 162 0 0 17 Mar 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 81 1 0 28 Jan 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 99 0 0 22 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 86 1 0 22 Jan 2025
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 31 0 0 07 Nov 2024
Environment as Policy: Learning to Race in Unseen Tracks Hongze Wang Jiaxu Xing Nico Messikommer Davide Scaramuzza 29 1 0 29 Oct 2024
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback Zaid Khan Elias Stengel-Eskin Jaemin Cho Joey Tianyi Zhou VGen 43 1 0 08 Oct 2024
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots Maria Bauzá José Enrique Chen Valentin Dalibard Nimrod Gileadi Roland Hafner ... Martin Riedmiller Jon Scholz Konstantinos Bousmalis Francesco Nori Nicolas Heess 34 5 0 10 Sep 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 53 6 0 28 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 42 3 0 09 Jul 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 48 4 0 25 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence Edward Hughes Michael Dennis Jack Parker-Holder Feryal M. P. Behbahani Aditi Mavalankar Yuge Shi Tom Schaul Tim Rocktaschel LRM 37 21 0 06 Jun 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving Axel Brunnbauer Luigi Berducci P. Priller D. Ničković Radu Grosu 50 1 0 26 Mar 2024
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control Zheng Xiong Risto Vuorio Jacob Beck Matthieu Zimmer Kun Shao Shimon Whiteson 39 1 0 09 Feb 2024
Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning R. Bhati S. Gottipati Clodéric Mars Matthew E. Taylor 37 0 0 19 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 78 5 0 13 Dec 2023
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation Shaopeng Zhai Jie Wang Tianyi Zhang Fuxian Huang Qi Zhang Ming Zhou Jing Hou Yu Qiao Yu Liu LLMAG LM&Ro 37 1 0 12 Dec 2023
Transferable Curricula through Difficulty Conditioned Generators Sidney Tio Pradeep Varakantham 19 4 0 22 Jun 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 32 5 0 25 Apr 2023
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition Elliot Fosong Arrasy Rahman Ignacio Carlucho Stefano V. Albrecht 30 5 0 09 Feb 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 21 6 0 26 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Generalization through Diversity: Improving Unsupervised Environment Design Wenjun Li Pradeep Varakantham Dexun Li 27 7 0 19 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 38 108 0 18 Jan 2023
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions Kevin Frans Phillip Isola OffRL 44 9 0 23 Nov 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Takumi Tanabe Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 27 8 0 07 Nov 2022
Environment Design for Inverse Reinforcement Learning Thomas Kleine Buening Victor Villin Christos Dimitrakakis 32 1 0 26 Oct 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 32 3 0 20 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 29 12 0 19 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 41 24 0 18 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 39 0 11 Oct 2022
Benchmarking Reinforcement Learning Techniques for Autonomous Navigation Zifan Xu Bo Liu Xuesu Xiao Anirudh Nair Peter Stone 31 40 0 10 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 16 6 0 03 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 31 15 0 19 Jul 2022
GriddlyJS: A Web IDE for Reinforcement Learning C. Bamford Minqi Jiang Mikayel Samvelyan Tim Rocktaschel OnRL 38 4 0 13 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Andrei Lupu Heinrich Küttler Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 43 13 0 11 Jul 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge Linxi Fan Guanzhi Wang Yunfan Jiang Ajay Mandlekar Yuncong Yang Haoyi Zhu Andrew Tang De-An Huang Yuke Zhu Anima Anandkumar LM&Ro 48 348 0 17 Jun 2022
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation Matt Deitke Eli VanderBilt Alvaro Herrasti Luca Weihs Jordi Salvador ... Winson Han Eric Kolve Ali Farhadi Aniruddha Kembhavi Roozbeh Mottaghi LM&Ro 44 235 0 14 Jun 2022
Relative Policy-Transition Optimization for Fast Policy Transfer Jiawei Xu Cheng Zhou Yizheng Zhang Zhengyou Zhang Lei Han 21 0 0 13 Jun 2022
Deep Surrogate Assisted Generation of Environments Varun Bhatt Bryon Tjanaka Matthew C. Fontaine Stefanos Nikolaidis 53 35 0 09 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 42 35 0 29 May 2022
Watts: Infrastructure for Open-Ended Learning Aaron Dharna Charlie Summers Rohin Dasari Julian Togelius Amy K. Hoover 22 1 0 28 Apr 2022
Flexible Multiple-Objective Reinforcement Learning for Chip Placement Fu-Chieh Chang Yu-Wei Tseng Ya-Wen Yu Ssu-Rui Lee Alexandru Cioba ... Chien-Yi Yang Ren-Chu Wang Yao-Wen Chang Tai-Chen Chen Tung-Chieh Chen OffRL 31 5 0 13 Apr 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 117 0 02 Mar 2022