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GriddlyJS: A Web IDE for Reinforcement Learning

13 July 2022

Papers citing "GriddlyJS: A Web IDE for Reinforcement Learning"

44 / 44 papers shown

Title
Learning to Brachiate via Simplified Model Imitation Daniele Reda Hung Yu Ling M. van de Panne 49 11 0 08 May 2022
Local Feature Swapping for Generalization in Reinforcement Learning David Bertoin Emmanuel Rachelson OOD 48 15 0 13 Apr 2022
Insights From the NeurIPS 2021 NetHack Challenge Eric Hambro Sharada Mohanty Dmitrii Babaev Mi-Ra Byeon Dipam Chakraborty ... Dan Rothermel Mikayel Samvelyan Dmitry Sorokin Maciej Sypetkowski Michal Sypetkowski 62 19 0 22 Mar 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 94 125 0 02 Mar 2022
Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset Matthew Siper Ahmed Khalifa Julian Togelius GAN 42 16 0 21 Feb 2022
VisualEnv: visual Gym environments with Blender A. Scorsoglio R. Furfaro AI4CE 23 1 0 15 Nov 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 191 100 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 289 90 0 27 Sep 2021
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 82 137 0 14 Sep 2021
Illuminating Diverse Neural Cellular Automata for Level Generation Sam Earle J. Snider Matthew C. Fontaine Stefanos Nikolaidis Julian Togelius 80 37 0 12 Sep 2021
Generalising Discrete Action Spaces with Conditional Action Trees Christopher Bamford Alvaro Ovalle 45 7 0 15 Apr 2021
Dynabench: Rethinking Benchmarking in NLP Douwe Kiela Max Bartolo Yixin Nie Divyansh Kaushik Atticus Geiger ... Pontus Stenetorp Robin Jia Joey Tianyi Zhou Christopher Potts Adina Williams 203 407 0 07 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 75 22 0 17 Mar 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu Rob Fergus DRL OffRL 59 99 0 20 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 81 234 0 03 Dec 2020
Griddly: A platform for AI research in games Chris Bamford Shengyi Huang Simon Lucas 71 37 0 12 Nov 2020
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 159 120 0 21 Oct 2020
Prioritized Level Replay Minqi Jiang Edward Grefenstette Tim Rocktaschel OffRL 60 159 0 08 Oct 2020
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution Vihang Patil M. Hofmarcher Marius-Constantin Dinu Matthias Dorfer P. Blies Johannes Brandstetter Jose A. Arjona-Medina Sepp Hochreiter 93 44 0 29 Sep 2020
Phasic Policy Gradient K. Cobbe Jacob Hilton Oleg Klimov John Schulman OffRL 57 158 0 09 Sep 2020
The NetHack Learning Environment Heinrich Küttler Nantas Nardelli Alexander H. Miller Roberta Raileanu Marco Selvatici Edward Grefenstette Tim Rocktaschel 73 181 0 24 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 75 88 0 10 Jun 2020
Chip Placement with Deep Reinforcement Learning Azalia Mirhoseini Anna Goldie M. Yazgan J. Jiang Ebrahim M. Songhori ... Quoc V. Le James Laudon Richard Ho Roger Carpenter J. Dean OffRL 62 217 0 22 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 223 1,377 0 15 Apr 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 79 556 0 03 Dec 2019
Increasing Generality in Machine Learning through Procedural Content Generation S. Risi Julian Togelius 64 125 0 29 Nov 2019
Working Memory Graphs Ricky Loynd Roland Fernandez Asli Celikyilmaz Adith Swaminathan Matthew J. Hausknecht 59 40 0 17 Nov 2019
RTFM: Generalising to Novel Environment Dynamics via Reading Victor Zhong Tim Rocktaschel Edward Grefenstette LLMAG OffRL AI4CE 56 54 0 18 Oct 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments Rémy Portelas Cédric Colas Katja Hofmann Pierre-Yves Oudeyer 61 145 0 16 Oct 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 64 143 0 04 Feb 2019
TensorFlow.js: Machine Learning for the Web and Beyond D. Smilkov Nikhil Thorat Yannick Assogba Ann Yuan Nick Kreeger ... D. Sculley R. Monga G. Corrado F. Viégas Martin Wattenberg 83 174 0 16 Jan 2019
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun Basel Alomair OffRL 111 237 0 29 Oct 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 87 206 0 29 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
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 159 221 0 05 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,182 0 20 Apr 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
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 97 175 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 220 1,600 0 05 Feb 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 133 1,136 0 02 Jan 2018
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 257 2,966 0 20 Mar 2017
Procedural Content Generation via Machine Learning (PCGML) A. Summerville Sam Snodgrass Matthew J. Guzdial Christoffer Holmgård Amy K. Hoover Aaron Isaksen Andy Nealen Julian Togelius 3DV 82 389 0 02 Feb 2017
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 145 462 0 06 Nov 2016
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