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Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

4 February 2019

Arthur Juliani

Ahmed Khalifa

Vincent-Pierre Berges

Papers citing "Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning"

34 / 34 papers shown

Title
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 143 1 0 22 Jan 2025
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 132 1 0 06 Nov 2024
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 98 17 0 11 Aug 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 100 113 0 18 Mar 2020
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 74 278 0 14 Dec 2018
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 109 671 0 06 Dec 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 159 1,332 0 30 Oct 2018
Pommerman: A Multi-Agent Playground Cinjon Resnick W. Eldridge David R Ha D. Britz Jakob N. Foerster Julian Togelius Kyunghyun Cho Joan Bruna LLMAG 61 85 0 19 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 85 820 0 07 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 117 944 0 04 Sep 2018
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 69 704 0 13 Aug 2018
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation Niels Justesen R. Torrado Philip Bontrager Ahmed Khalifa Julian Togelius S. Risi 117 185 0 28 Jun 2018
Playing hard exploration games by watching YouTube Y. Aytar Tobias Pfaff David Budden T. Paine Ziyun Wang Nando de Freitas 63 271 0 29 May 2018
A Study on Overfitting in Deep Reinforcement Learning Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio OffRL OnRL 55 388 0 18 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 58 177 0 10 Apr 2018
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,265 0 06 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 118 1,954 0 19 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 83 554 0 18 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 108 2,439 0 15 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 84 905 0 03 Mar 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 91 837 0 08 Feb 2017
DeepMind Lab Charlie Beattie Joel Z Leibo Denis Teplyashin Tom Ward Marcus Wainwright ... Stephen Gaffney Helen King Demis Hassabis Shane Legg Stig Petersen 50 241 0 12 Dec 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 980 0 17 Nov 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics Pulkit Agrawal Ashvin Nair Pieter Abbeel Jitendra Malik Sergey Levine SSL 67 564 0 23 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 174 1,478 0 06 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,077 0 05 Jun 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning Michal Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Ja'skowski 68 697 0 06 May 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 199 8,859 0 04 Feb 2016
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S. Mohamed Danilo Jimenez Rezende DRL SSL 97 402 0 29 Sep 2015
Learning Contact-Rich Manipulation Skills with Guided Policy Search Sergey Levine Nolan Wagener Pieter Abbeel 67 342 0 22 Jan 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 117 3,006 0 19 Jul 2012
Measuring Intelligence through Games Tom Schaul Julian Togelius Jürgen Schmidhuber ELM AI4CE 104 54 0 06 Sep 2011