Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

30 October 2024

Papers citing "Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks"

50 / 81 papers shown

Title
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery Alexander Rutherford Michael Beukman Timon Willi Bruno Lacerda Nick Hawes Jakob Foerster 79 8 0 27 Aug 2024
Diffusion Models Are Real-Time Game Engines Dani Valevski Yaniv Leviathan Moab Arar Shlomi Fruchter DiffM VGen AI4CE 82 78 0 27 Aug 2024
Body Transformer: Leveraging Robot Embodiment for Policy Learning Carmelo Sferrazza Dun-Ming Huang Fangchen Liu Jongmin Lee Pieter Abbeel LM&Ro 71 14 0 12 Aug 2024
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks Zaijing Li Yuquan Xie Rui Shao Gongwei Chen Dongmei Jiang Liqiang Nie 115 26 0 07 Aug 2024
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS Saman Kazemkhani Aarav Pandya Daphne Cornelisse Brennan Shacklett Eugene Vinitsky 77 10 0 02 Aug 2024
NAVIX: Scaling MiniGrid Environments with JAX Eduardo Pignatelli Jarek Liesen R. T. Lange Chris Xiaoxuan Lu Pablo Samuel Castro Laura Toni 110 4 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 93 4 0 09 Jul 2024
Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents Sam Earle Julian Togelius 50 1 0 05 Jul 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin Ilya Zisman Alexey Zemtsov Viacheslav Sinii 170 5 0 13 Jun 2024
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots Soroush Nasiriany Abhiram Maddukuri Lance Zhang Adeet Parikh Aaron Lo Abhishek Joshi Ajay Mandlekar Yuke Zhu LM&Ro 104 83 0 04 Jun 2024
Octo: An Open-Source Generalist Robot Policy Octo Model Team Dibya Ghosh Homer Walke Karl Pertsch Kevin Black ... Quan Vuong Ted Xiao Dorsa Sadigh Chelsea Finn Sergey Levine 184 422 0 20 May 2024
JaxUED: A simple and useable UED library in Jax Samuel Coward Michael Beukman Jakob Foerster 63 5 0 19 Mar 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans Seohong Park Pieter Abbeel Sergey Levine OffRL 91 13 0 27 Feb 2024
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 73 31 0 26 Feb 2024
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 125 170 0 23 Feb 2024
Mixtures of Experts Unlock Parameter Scaling for Deep RL J. Obando-Ceron Ghada Sokar Timon Willi Clare Lyle Jesse Farebrother Jakob N. Foerster Gintare Karolina Dziugaite Doina Precup Pablo Samuel Castro 110 36 0 13 Feb 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms Matthew Jackson Chris Xiaoxuan Lu Louis Kirsch R. T. Lange Shimon Whiteson Jakob N. Foerster 81 18 0 08 Feb 2024
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design Samuel Garcin James Doran Shangmin Guo Christopher G. Lucas Stefano V. Albrecht 70 9 0 05 Feb 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 78 28 0 19 Dec 2023
Generalization to New Sequential Decision Making Tasks with In-Context Learning Sharath Chandra Raparthy Eric Hambro Robert Kirk Mikael Henaff Roberta Raileanu OffRL 170 24 0 06 Dec 2023
I-PHYRE: Interactive Physical Reasoning Shiqian Li Ke Wu Chi Zhang Yixin Zhu LRM 67 7 0 04 Dec 2023
JaxMARL: Multi-Agent RL Environments in JAX Alex Rutherford Benjamin Ellis Matteo Gallici Jonathan Cook Andrei Lupu ... Bruno Lacerda Nick Hawes Tim Rocktaschel Chris Xiaoxuan Lu Jakob N. Foerster 80 20 0 16 Nov 2023
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models Zihao Wang Shaofei Cai Hoang Trung-Dung Yonggang Jin Jinbing Hou ... Zhaofeng He Zilong Zheng Yaodong Yang Xiaojian Ma Yitao Liang LLMAG LM&Ro 70 105 0 10 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 55 11 0 01 Nov 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design Matthew Jackson Minqi Jiang Jack Parker-Holder Risto Vuorio Chris Xiaoxuan Lu Gregory Farquhar Shimon Whiteson Jakob N. Foerster OOD 49 9 0 04 Oct 2023
Large Language Models as General Pattern Machines Suvir Mirchandani F. Xia Peter R. Florence Brian Ichter Danny Driess Montse Gonzalez Arenas Kanishka Rao Dorsa Sadigh Andy Zeng LLMAG 101 196 0 10 Jul 2023
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks Maxime Chevalier-Boisvert Bolun Dai Mark Towers Rodrigo de Lazcano Lucas Willems Salem Lahlou Suman Pal Pablo Samuel Castro Jordan Terry VGen 87 204 0 24 Jun 2023
Voyager: An Open-Ended Embodied Agent with Large Language Models Guanzhi Wang Yuqi Xie Yunfan Jiang Ajay Mandlekar Chaowei Xiao Yuke Zhu Linxi Fan Anima Anandkumar LM&Ro SyDa 140 810 0 25 May 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 59 7 0 25 Apr 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning Sotetsu Koyamada Shinri Okano Soichiro Nishimori Y. Murata Keigo Habara Haruka Kita Shin Ishii 49 25 0 29 Mar 2023
Structured State Space Models for In-Context Reinforcement Learning Chris Xiaoxuan Lu Yannick Schroecker Albert Gu Emilio Parisotto Jakob N. Foerster Satinder Singh Feryal M. P. Behbahani AI4TS 144 90 0 07 Mar 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning Ghada Sokar Rishabh Agarwal Pablo Samuel Castro Utku Evci CLL 83 95 0 24 Feb 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 100 116 0 18 Jan 2023
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 68 600 0 10 Jan 2023
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions Kevin Frans Phillip Isola OffRL 77 9 0 23 Nov 2022
Discovered Policy Optimisation Chris Xiaoxuan Lu J. Kuba Alistair Letcher Luke Metz Christian Schroeder de Witt Jakob N. Foerster OffRL 70 78 0 11 Oct 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 197 815 0 12 May 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 89 125 0 02 Mar 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 61 31 0 09 Feb 2022
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 84 165 0 18 Nov 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 179 100 0 06 Oct 2021
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 68 136 0 14 Sep 2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning Viktor Makoviychuk Lukasz Wawrzyniak Yunrong Guo Michelle Lu Kier Storey ... David Hoeller Nikita Rudin Arthur Allshire Ankur Handa Gavriel State 170 1,072 0 24 Aug 2021
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness Shibhansh Dohare R. Sutton A. R. Mahmood CLL 124 82 0 13 Aug 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation C. Freeman Erik Frey Anton Raichuk Sertan Girgin Igor Mordatch Olivier Bachem 103 372 0 24 Jun 2021
A study on the plasticity of neural networks Tudor Berariu Wojciech M. Czarnecki Soham De J. Bornschein Samuel L. Smith Razvan Pascanu Claudia Clopath CLL AI4CE 54 32 0 31 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 352 1,148 0 27 Apr 2021
Podracer architectures for scalable Reinforcement Learning Matteo Hessel M. Kroiss Aidan Clark Iurii Kemaev John Quan Thomas Keck Fabio Viola H. V. Hasselt 54 39 0 13 Apr 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 72 190 0 11 Feb 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Michael Dennis Natasha Jaques Eugene Vinitsky Alexandre M. Bayen Stuart J. Russell Andrew Critch Sergey Levine 78 234 0 03 Dec 2020