MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

27 September 2021

Papers citing "MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research"

42 / 42 papers shown

Title
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 187 19 0 20 Nov 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 91 1 0 21 Aug 2024
Reinforcement learning Florentin Wörgötter 82 2,536 0 16 May 2024
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Bangnig Zhang Raghunandan Rajan Luis Pineda Nathan Lambert André Biedenkapp Kurtland Chua Frank Hutter Roberto Calandra 96 101 0 26 Feb 2021
Adversarially Guided Actor-Critic Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux Matthieu Geist 52 71 0 08 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 152 530 0 04 Feb 2021
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors William H. Guss Cayden R. Codel Katja Hofmann Brandon Houghton Noburu Kuno ... John Schulman Manuela Veloso Nicholay Topin Avinash Ummadisingu Phillip Wang OffRL 51 64 0 26 Jan 2021
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 58 40 0 15 Dec 2020
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 72 234 0 03 Dec 2020
Griddly: A platform for AI research in games Chris Bamford Shengyi Huang Simon Lucas 53 37 0 12 Nov 2020
The NetHack Learning Environment Heinrich Küttler Nantas Nardelli Alexander H. Miller Roberta Raileanu Marco Selvatici Edward Grefenstette Tim Rocktaschel 61 181 0 24 Jun 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 63 519 0 30 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 68 125 0 24 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 60 173 0 27 Feb 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 140 1,820 0 13 Dec 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 72 555 0 03 Dec 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 224 1,165 0 24 Oct 2019
TorchBeast: A PyTorch Platform for Distributed RL Heinrich Küttler Nantas Nardelli Thibaut Lavril Marco Selvatici V. Sivakumar Tim Rocktaschel Edward Grefenstette OffRL 40 58 0 08 Oct 2019
Environmental drivers of systematicity and generalization in a situated agent Felix Hill Andrew Kyle Lampinen R. Schneider S. Clark M. Botvinick James L. McClelland Adam Santoro OOD 83 107 0 01 Oct 2019
Behaviour Suite for Reinforcement Learning Ian Osband Yotam Doron Matteo Hessel John Aslanides Eren Sezener ... Satinder Singh Benjamin Van Roy R. Sutton David Silver H. V. Hasselt OffRL 65 182 0 09 Aug 2019
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning Yuji Kanagawa Tomoyuki Kaneko 48 14 0 17 Apr 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning Arthur Juliani Ahmed Khalifa Vincent-Pierre Berges Jonathan Harper Ervin Teng Hunter Henry A. Crespi Julian Togelius Danny Lange 52 143 0 04 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 71 368 0 30 Jan 2019
An investigation of model-free planning A. Guez M. Berk Mirza Karol Gregor Rishabh Kabra S. Racanière ... Laurent Orseau Tom Eccles Greg Wayne David Silver Timothy Lillicrap OffRL 73 115 0 11 Jan 2019
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 147 1,329 0 30 Oct 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 55 177 0 10 Apr 2018
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms Diego Perez-Liebana Jialin Liu Ahmed Khalifa Raluca D. Gaina Julian Togelius Simon Lucas 80 175 0 28 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 195 1,598 0 05 Feb 2018
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 89 1,258 0 16 Dec 2017
Exploration in NetHack With Secret Discovery Jonathan Campbell Clark Verbrugge 42 7 0 08 Nov 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,950 0 19 Sep 2017
StarCraft II: A New Challenge for Reinforcement Learning Oriol Vinyals T. Ewalds Sergey Bartunov Petko Georgiev A. Vezhnevets ... Anthony Brunasso David Lawrence Anders Ekermo J. Repp Rodney Tsing 76 873 0 16 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 446 19,006 0 20 Jul 2017
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 167 1,477 0 06 Jun 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning Michal Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Ja'skowski 60 697 0 06 May 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 114 1,307 0 15 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,850 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 212 3,787 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 156 7,635 0 22 Sep 2015
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 258 6,101 0 04 Sep 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 109 3,002 0 19 Jul 2012