TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL

17 March 2021

Pierre-Yves Oudeyer

Papers citing "TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL"

19 / 19 papers shown

Title
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 58 54 0 24 Apr 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 60 127 0 19 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 53 171 0 10 Mar 2020
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments Rémy Portelas Cédric Colas Katja Hofmann Pierre-Yves Oudeyer 44 144 0 16 Oct 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 69 1,215 0 16 Oct 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 50 53 0 27 Sep 2019
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 69 137 0 08 Dec 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 53 756 0 08 Oct 2018
Multi-task Deep Reinforcement Learning with PopArt Matteo Hessel Hubert Soyer L. Espeholt Wojciech M. Czarnecki Simon Schmitt H. V. Hasselt 83 316 0 12 Sep 2018
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation Niels Justesen R. Torrado Philip Bontrager Ahmed Khalifa Julian Togelius S. Risi 104 181 0 28 Jun 2018
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 39 90 0 21 Jun 2018
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 92 506 0 17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 96 2,423 0 15 May 2017
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 171 2,948 0 20 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 263 7,410 0 02 Dec 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 174 5,056 0 05 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 183 3,681 0 26 May 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 191 13,174 0 09 Sep 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 78 2,992 0 19 Jul 2012