Automatic Curriculum Learning For Deep RL: A Short Survey

10 March 2020

Papers citing "Automatic Curriculum Learning For Deep RL: A Short Survey"

50 / 57 papers shown

Title
Intrinsically-Motivated Humans and Agents in Open-World Exploration Aly Lidayan Yuqing Du Eliza Kosoy Maria Rufova Pieter Abbeel Alison Gopnik 87 1 0 31 Mar 2025
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 97 4 0 21 Mar 2025
Training a Generally Curious Agent Fahim Tajwar Yiding Jiang Abitha Thankaraj Sumaita Sadia Rahman J. Zico Kolter Jeff Schneider Ruslan Salakhutdinov 168 2 0 24 Feb 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution Ke Xue Yutong Wang Cong Guan Lei Yuan Haobo Fu Qiang Fu Chao Qian Yang Yu 87 17 0 03 Jan 2025
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models Kanghyun Ryu Qiayuan Liao Zhongyu Li Koushil Sreenath Negar Mehr Negar Mehr LM&Ro 294 4 0 27 Sep 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving Axel Brunnbauer Luigi Berducci P. Priller D. Ničković Radu Grosu 77 2 0 26 Mar 2024
Improved Performances and Motivation in Intelligent Tutoring Systems: Combining Machine Learning and Learner Choice Benjamin Clément Hélene Sauzéon Didier Roy Pierre-Yves Oudeyer 30 2 0 16 Jan 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 111 5 0 13 Dec 2023
Learning Progress Driven Multi-Agent Curriculum Wenshuai Zhao Zhiyuan Li Joni Pajarinen 77 0 0 20 May 2022
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 137 281 0 15 Aug 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration Cédric Colas Tristan Karch Nicolas Lair Jean-Michel Dussoux Clément Moulin-Frier Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro LLMAG LRM 49 121 0 21 Feb 2020
Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri Kyle Hsu Benjamin Eysenbach Abhishek Gupta Sergey Levine Chelsea Finn VLM OOD SSL OffRL 58 65 0 09 Dec 2019
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning Nicolas Lair Cédric Colas Rémy Portelas Jean-Michel Dussoux Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro 43 7 0 08 Nov 2019
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay Geoffrey Cideron Mathieu Seurin Florian Strub Olivier Pietquin 48 37 0 21 Oct 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments Rémy Portelas Cédric Colas Katja Hofmann Pierre-Yves Oudeyer 51 145 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 111 1,225 0 16 Oct 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 65 53 0 27 Sep 2019
Emergent Tool Use From Multi-Agent Autocurricula Bowen Baker I. Kanitscheider Todor Markov Yi Wu Glenn Powell Bob McGrew Igor Mordatch LRM 66 652 0 17 Sep 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 56 249 0 29 Jun 2019
Experience Replay Optimization Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu OffRL 44 102 0 19 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 73 380 0 10 Jun 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 56 262 0 09 Apr 2019
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL Yannis Flet-Berliac Philippe Preux 31 2 0 08 Apr 2019
On The Power of Curriculum Learning in Training Deep Networks Guy Hacohen D. Weinshall ODL 68 442 0 07 Apr 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 69 276 0 08 Mar 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 94 54 0 20 Feb 2019
Distilling Policy Distillation Wojciech M. Czarnecki Razvan Pascanu Simon Osindero Siddhant M. Jayakumar G. Swirszcz Max Jaderberg 59 133 0 06 Feb 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions Rui Wang Joel Lehman Jeff Clune Kenneth O. Stanley 92 249 0 07 Jan 2019
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 94 138 0 08 Dec 2018
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 91 667 0 06 Dec 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 133 1,327 0 30 Oct 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 73 179 0 29 Oct 2018
Reinforcement Learning for Improving Agent Design David R Ha 89 126 0 09 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 108 74 0 02 Oct 2018
Curriculum goal masking for continuous deep reinforcement learning Manfred Eppe S. Magg S. Wermter 46 19 0 17 Sep 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 52 87 0 04 Jul 2018
Accuracy-based Curriculum Learning in Deep Reinforcement Learning Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer ODL 99 38 0 25 Jun 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 64 57 0 16 Jun 2018
Mix&Match - Agent Curricula for Reinforcement Learning Wojciech M. Czarnecki Siddhant M. Jayakumar Max Jaderberg Leonard Hasenclever Yee Whye Teh Simon Osindero N. Heess Razvan Pascanu 59 71 0 05 Jun 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 143 740 0 02 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 83 447 0 28 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 89 1,083 0 16 Feb 2018
Emergent Complexity via Multi-Agent Competition Trapit Bansal J. Pachocki Szymon Sidor Ilya Sutskever Igor Mordatch 59 388 0 10 Oct 2017
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning Sébastien Forestier Rémy Portelas Yoan Mollard Pierre-Yves Oudeyer 69 188 0 07 Aug 2017
Reverse Curriculum Generation for Reinforcement Learning Carlos Florensa David Held Markus Wulfmeier Michael Zhang Pieter Abbeel 65 443 0 17 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 239 2,322 0 05 Jul 2017
Teacher-Student Curriculum Learning Tambet Matiisen Avital Oliver Taco S. Cohen John Schulman ODL 86 377 0 01 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 102 513 0 17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 106 2,433 0 15 May 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play Sainbayar Sukhbaatar Zeming Lin Ilya Kostrikov Gabriel Synnaeve Arthur Szlam Rob Fergus SSL 62 337 0 15 Mar 2017