Title
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
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games Davide Paglieri Bartłomiej Cupiał Samuel Coward Ulyana Piterbarg Maciej Wolczyk ... Lerrel Pinto Rob Fergus Jakob Foerster Jack Parker-Holder Tim Rocktaschel LLMAG LRM 111 10 0 20 Nov 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 31 0 0 07 Nov 2024
In-context learning and Occam's razor Eric Elmoznino Tom Marty Tejas Kasetty Léo Gagnon Sarthak Mittal Mahan Fathi Dhanya Sridhar Guillaume Lajoie 36 1 0 17 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 28 4 0 10 Sep 2024
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning Hosung Lee Sejin Kim Seungpil Lee Sanha Hwang Jihwan Lee Byung-Jun Lee Sundong Kim LRM 37 8 0 30 Jul 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 48 4 0 25 Jun 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin Ilya Zisman Alexey Zemtsov Viacheslav Sinii 105 4 0 13 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 34 18 0 06 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 36 2 0 18 May 2024
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey Lingfan Bao Josephine N. Humphreys Tianhu Peng Chengxu Zhou 65 5 0 25 Apr 2024
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems Pengdeng Li Shuxin Li Xinrun Wang Jakub Cerny Youzhi Zhang Stephen McAleer Hau Chan Bo An 34 1 0 19 Apr 2024
Evolution Transformer: In-Context Evolutionary Optimization Robert Tjarko Lange Yingtao Tian Yujin Tang 16 10 0 05 Mar 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 24 25 0 19 Dec 2023
The mechanistic basis of data dependence and abrupt learning in an in-context classification task Gautam Reddy 19 50 0 03 Dec 2023
Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning Richard Bornemann Gautier Hamon Eleni Nisioti Clément Moulin-Frier LRM 22 1 0 01 Nov 2023
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents Olivier Sigaud Gianluca Baldassarre Cédric Colas Stéphane Doncieux Richard J. Duro Pierre-Yves Oudeyer Nicolas Perrin-Gilbert V. Santucci AI4CE 24 10 0 01 Nov 2023
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization Bodhisattwa Prasad Majumder Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Niket Tandon Li Zhang Chris Callison-Burch Peter Clark LRM LLMAG CLL 18 37 0 16 Oct 2023
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges Jiajia Li Mingle Xu Lirong Xiang Dong Chen Weichao Zhuang Xunyuan Yin Zhao Li 33 3 0 13 Aug 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Aaron C. Courville Marc G. Bellemare Rishabh Agarwal P. S. Castro OffRL 43 82 0 30 May 2023
Augmenting Autotelic Agents with Large Language Models Cédric Colas Laetitia Teodorescu Pierre-Yves Oudeyer Xingdi Yuan Marc-Alexandre Côté LLMAG LM&Ro 28 22 0 21 May 2023
Introspective Tips: Large Language Model for In-Context Decision Making Liting Chen Lu Wang Hang Dong Yali Du Jie Yan ... Pu Zhao Si Qin Saravan Rajmohan Qingwei Lin Dongmei Zhang LLMAG LRM 34 23 0 19 May 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 32 140 0 26 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 30 25 0 12 Apr 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning Mikayel Samvelyan Akbir Khan Michael Dennis Minqi Jiang Jack Parker-Holder Jakob N. Foerster Roberta Raileanu Tim Rocktaschel 46 24 0 06 Mar 2023
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments Hamon Gautier Eleni Nisioti Clément Moulin-Frier 24 2 0 18 Feb 2023
Scaling laws for single-agent reinforcement learning Jacob Hilton Jie Tang John Schulman 22 20 0 31 Jan 2023
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 90 178 0 16 May 2022
Improving Intrinsic Exploration with Language Abstractions Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 103 63 0 17 Feb 2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned Anssi Kanervisto Stephanie Milani Karolis Ramanauskas Nicholay Topin Zichuan Lin ... Franccois Fleuret Alexander Nikulin Yury Belousov Oleg Svidchenko A. Shpilman OffRL 57 31 0 17 Feb 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 137 95 0 28 Jan 2022
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 122 160 0 15 Oct 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 124 95 0 06 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 74 76 0 13 Jan 2021
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 55 210 0 18 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 216 0 06 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 231 4,469 0 23 Jan 2020
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 167 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 326 11,681 0 09 Mar 2017