v1v2v3 (latest)

Reverse Curriculum Generation for Reinforcement Learning

17 July 2017

Markus Wulfmeier

Pieter Abbeel

Papers citing "Reverse Curriculum Generation for Reinforcement Learning"

50 / 274 papers shown

Title
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 171 8 0 16 Nov 2020
Joint Space Control via Deep Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Visak C. V. Kumar David Hoeller Balakumar Sundaralingam Jonathan Tremblay Stan Birchfield DRL 166 19 0 12 Nov 2020
Representation Matters: Improving Perception and Exploration for Robotics Markus Wulfmeier Arunkumar Byravan Tim Hertweck I. Higgins Ankush Gupta ... Malcolm Reynolds Denis Teplyashin Agrim Gupta Thomas Lampe Martin Riedmiller 243 19 0 03 Nov 2020
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 291 24 0 25 Oct 2020
Training Stronger Baselines for Learning to OptimizeNeural Information Processing Systems (NeurIPS), 2020 Tianlong Chen Weiyi Zhang Jingyang Zhou Shiyu Chang Sijia Liu Lisa Amini Zinan Lin OffRL 173 56 0 18 Oct 2020
Robot Navigation in Constrained Pedestrian Environments using Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2020 Claudia Pérez-DÁrpino Can Liu P. Goebel Roberto Martín-Martín Silvio Savarese 313 89 0 16 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 189 11 0 15 Oct 2020
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement LearningMotion in Games (MIG), 2020 Daniele Reda Tianxin Tao M. van de Panne AI4CE 184 58 0 09 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 161 8 0 03 Oct 2020
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy Yunshu Du Garrett A. Warnell A. Gebremedhin Peter Stone Matthew E. Taylor 153 11 0 29 Sep 2020
AI and Wargaming J. Goodman S. Risi Simon Lucas VLM 286 16 0 18 Sep 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning M. Berk Mirza Andrew Jaegle Jonathan J. Hunt A. Guez S. Tunyasuvunakool ... Peter Karkus S. Racanière Lars Buesing Timothy Lillicrap N. Heess AI4CE 135 13 0 11 Sep 2020
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks Binyamin Manela Armin Biess 111 30 0 21 Aug 2020
REMAX: Relational Representation for Multi-Agent ExplorationAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 Heechang Ryu Hayong Shin Jinkyoo Park 159 4 0 12 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 124 5 0 05 Aug 2020
Curriculum Learning with a Progression Function Andrea Bassich Francesco Foglino Matteo Leonetti D. Kudenko ODL 192 6 0 02 Aug 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal GenerationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Zhenshan Bing Matthias Brucker F. O. Morin Kai-Qi Huang Alois C. Knoll 141 34 0 27 Jul 2020
Multi-task learning for natural language processing in the 2020s: where are we going? Joseph Worsham Jugal Kalita AIMat 156 87 0 22 Jul 2020
Curriculum learning for multilevel budgeted combinatorial problems Adel Nabli Margarida Carvalho AI4CE 177 5 0 07 Jul 2020
Interaction-limited Inverse Reinforcement Learning Martin Troussard Emmanuel Pignat Parameswaran Kamalaruban Sylvain Calinon Volkan Cevher 130 2 0 01 Jul 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 274 30 0 01 Jul 2020
Ecological Reinforcement Learning John D. Co-Reyes Suvansh Sanjeev Glen Berseth Abhishek Gupta Sergey Levine OffRL 177 24 0 22 Jun 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 219 97 0 22 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 248 134 0 22 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 177 120 0 17 Jun 2020
Grounding Language to Autonomously-Acquired Skills via Goal Generation Ahmed Akakzia Cédric Colas Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 168 3 0 12 Jun 2020
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer SearchNeural Information Processing Systems (NeurIPS), 2020 T. Gogineni Ziping Xu E. Punzalan Runxuan Jiang Joshua A Kammeraad Ambuj Tewari Paul M. Zimmerman AI4CE 138 32 0 12 Jun 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos Dieter Fox 235 65 0 21 May 2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps Peng Guo Hexiang Hu Jiacheng Chen Zhiwei Deng Vihan Jain Eugene Ie Fei Sha LM&Ro 198 77 0 10 May 2020
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills Zhaoming Xie Hung Yu Ling N. Kim M. van de Panne 297 130 0 09 May 2020
Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks Haonan Chang Zhuo Xu Masayoshi Tomizuka 70 7 0 07 May 2020
Navigating the Landscape of Multiplayer Games Shayegan Omidshafiei K. Tuyls Wojciech M. Czarnecki Francisco C. Santos Mark Rowland ... Paul Muller Julien Perolat Bart De Vylder A. Gruslys Rémi Munos 136 2 0 04 May 2020
Meta-Reinforcement Learning for Robotic Industrial Insertion TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Gerrit Schoettler Ashvin Nair J. A. Ojea Sergey Levine Eugen Solowjow OffRL OnRL 196 98 0 29 Apr 2020
Self-Paced Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020 Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 310 61 0 24 Apr 2020
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion PlanningInternational Conference on Artificial Neural Networks (ICANN), 2020 Guillaume Matheron Nicolas Perrin Olivier Sigaud 133 19 0 24 Apr 2020
Learning visual policies for building 3D shape categoriesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Alexander Pashevich Igor Kalevatykh Ivan Laptev Cordelia Schmid 146 3 0 15 Apr 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their SolutionsInternational Conference on Machine Learning (ICML), 2020 Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 290 141 0 19 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and SurveyJournal of machine learning research (JMLR), 2020 Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 400 602 0 10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 288 198 0 10 Mar 2020
Deep Adversarial Reinforcement Learning for Object DisentanglingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Melvin Laux Oleg Arenz Jan Peters Joni Pajarinen DRL 132 3 0 08 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary ConditionsWorkshop on the Algorithmic Foundations of Robotics (WAFR), 2020 Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Joseph E. Gonzalez Aaron D. Ames Ken Goldberg 161 16 0 03 Mar 2020
Curriculum By Smoothing Samarth Sinha Animesh Garg Hugo Larochelle 253 7 0 03 Mar 2020
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic HardwareIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Guangzhi Tang Neelesh Kumar Konstantinos Michmizos 162 98 0 02 Mar 2020
Estimating Q(s,s') with Deep Deterministic Dynamics GradientsInternational Conference on Machine Learning (ICML), 2020 Ashley D. Edwards Himanshu Sahni Rosanne Liu Jane Hung Ankit Jain Rui Wang Adrien Ecoffet Thomas Miconi Charles Isbell J. Yosinski OffRL 172 20 0 21 Feb 2020
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions David Venuto Jhelum Chakravorty Léonard Boussioux Junhao Wang Gavin McCracken Doina Precup 112 3 0 20 Feb 2020
Curriculum in Gradient-Based Meta-Reinforcement Learning Bhairav Mehta T. Deleu Sharath Chandra Raparthy C. Pal Liam Paull 170 20 0 19 Feb 2020
Generating Automatic Curricula via Self-Supervised Active Domain Randomization Sharath Chandra Raparthy Bhairav Mehta Florian Golemo Liam Paull 168 8 0 18 Feb 2020
Empirical Policy Evaluation with SupergraphsIEEE Journal on Selected Areas in Information Theory (JSAIT), 2020 Daniel Vial V. Subramanian OffRL 92 0 0 18 Feb 2020
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning ProblemKnowledge Discovery and Data Mining (KDD), 2020 Yun Hua Xiangfeng Wang Bo Jin Wenhao Li Junchi Yan Xiaofeng He H. Zha OffRL 169 9 0 11 Feb 2020
Reinforcement Learning with Probabilistically Complete Exploration Philippe Morere Gilad Francis Tom Blau Fabio Ramos OffRL 127 7 0 20 Jan 2020