v1v2v3 (latest)

Reverse Curriculum Generation for Reinforcement Learning

17 July 2017

Markus Wulfmeier

Pieter Abbeel

Papers citing "Reverse Curriculum Generation for Reinforcement Learning"

22 / 22 papers shown

Title
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 100 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 207 3 0 24 Feb 2025
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text Andrei Jarca Florinel-Alin Croitoru Radu Tudor Ionescu 104 1 0 18 Feb 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 347 4 0 27 Sep 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 89 0 0 19 Aug 2024
Learning Progress Driven Multi-Agent Curriculum Wenshuai Zhao Zhiyuan Li Joni Pajarinen 88 0 0 20 May 2022
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 109 515 0 17 May 2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation I. Popov N. Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller OffRL 88 265 0 10 Apr 2017
Automated Curriculum Learning for Neural Networks Alex Graves Marc G. Bellemare Jacob Menick Rémi Munos Koray Kavukcuoglu 88 531 0 10 Apr 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 262 2,972 0 20 Mar 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play Sainbayar Sukhbaatar Zeming Lin Ilya Kostrikov Gabriel Synnaeve Arthur Szlam Rob Fergus SSL 83 338 0 15 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 90 276 0 08 Mar 2017
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 94 1,695 0 22 Apr 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,286 0 09 Sep 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks Samy Bengio Oriol Vinyals Navdeep Jaitly Noam M. Shazeer 152 2,038 0 09 Jun 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 129 3,438 0 08 Jun 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 315 3,443 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 279 6,796 0 19 Feb 2015
Learning to Execute Wojciech Zaremba Ilya Sutskever ODL 90 560 0 17 Oct 2014
Generalization and Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Zheng Wen 91 314 0 04 Feb 2014
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots Adrien Baranes Pierre-Yves Oudeyer 155 442 0 21 Jan 2013
POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem Jürgen Schmidhuber 97 150 0 22 Dec 2011