Reverse Curriculum Generation for Reinforcement Learning

17 July 2017

Markus Wulfmeier

Pieter Abbeel

Papers citing "Reverse Curriculum Generation for Reinforcement Learning"

50 / 83 papers shown

Title
Quadrupedal Robot Skateboard Mounting via Reverse Curriculum Learning Danil Belov Artem Erkhov Elizaveta Pestova I. Osokin Dzmitry Tsetserukou Pavel Osinenko 31 0 0 10 May 2025
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution Yufei Lin Chengwei Ye Hongzhi Zhang Kangsheng Wang Linuo Xu Shuyan Liu Zeyu Zhang 32 1 0 08 May 2025
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 61 3 0 21 Mar 2025
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text Andrei Jarca Florinel-Alin Croitoru Radu Tudor Ionescu 53 0 0 18 Feb 2025
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models Kanghyun Ryu Qiayuan Liao Zhongyu Li K. Sreenath Negar Mehr Negar Mehr LM&Ro 162 3 0 27 Sep 2024
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots Maria Bauzá José Enrique Chen Valentin Dalibard Nimrod Gileadi Roland Hafner ... Martin Riedmiller Jon Scholz Konstantinos Bousmalis Francesco Nori Nicolas Heess 34 5 0 10 Sep 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 53 0 0 19 Aug 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Zhiheng Xi Wenxiang Chen Boyang Hong Senjie Jin Rui Zheng ... Xinbo Zhang Peng Sun Tao Gui Qi Zhang Xuanjing Huang LRM 32 20 0 08 Feb 2024
Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning Pouya Parsa Raoof Zare Moayedi Mohammad Bornosi Mohammad Mahdi Bejani 19 0 0 25 Nov 2023
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization Pablo V. A. Barros A. Sciutti SSL 28 3 0 02 Oct 2023
One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers Abraham George A. Farimani OffRL 25 11 0 18 Sep 2023
Contrastive Initial State Buffer for Reinforcement Learning Nico Messikommer Yunlong Song Davide Scaramuzza OffRL 41 9 0 18 Sep 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning Cevahir Köprülü Ufuk Topcu 23 3 0 25 May 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 32 5 0 25 Apr 2023
ASP: Learn a Universal Neural Solver! Chenguang Wang Zhouliang Yu Stephen Marcus McAleer Tianshu Yu Yao-Chun Yang AAML 32 24 0 01 Mar 2023
Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards Yuxin Wei Hong-Peng Zhang Chang Huang 18 3 0 12 Feb 2023
Zero-Shot Transfer of Haptics-Based Object Insertion Policies Samarth Brahmbhatt A. Deka Andrew Spielberg M. Muller 9 5 0 29 Jan 2023
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 22 4 0 30 Nov 2022
Curriculum Temperature for Knowledge Distillation Zheng Li Xiang Li Lingfeng Yang Borui Zhao Renjie Song Lei Luo Jun Yu Li Jian Yang 27 132 0 29 Nov 2022
Teacher-student curriculum learning for reinforcement learning Yanick Schraner OffRL 37 2 0 31 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 54 37 0 23 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 39 0 11 Oct 2022
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps Sudeep Dasari Abhi Gupta Vikash Kumar 52 42 0 22 Sep 2022
Multi-Objective Policy Gradients with Topological Constraints K. H. Wray Stas Tiomkin Mykel J. Kochenderfer Pieter Abbeel 27 2 0 15 Sep 2022
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment Yilei Zeng Jiali Duan Yongqian Li Emilio Ferrara Lerrel Pinto Chloe Kuo Stefanos Nikolaidis 48 3 0 04 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David M. Klee Ondrej Biza Robert W. Platt OffRL 24 1 0 22 Jul 2022
Constrained Reinforcement Learning for Short Video Recommendation Qingpeng Cai Ruohan Zhan Chi Zhang Jie Zheng Guangwei Ding Pinghua Gong Dong Zheng Peng Jiang 20 6 0 26 May 2022
Learning Dense Reward with Temporal Variant Self-Supervision Yuning Wu Jieliang Luo Hui Li SSL 11 0 0 20 May 2022
Learning Progress Driven Multi-Agent Curriculum Wenshuai Zhao Zhiyuan Li Joni Pajarinen 32 0 0 20 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 324 0 02 May 2022
Divide & Conquer Imitation Learning Alexandre Chenu Nicolas Perrin-Gilbert Olivier Sigaud 10 5 0 15 Apr 2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets Yunfei Li Tao Kong Lei Li Yi Wu 43 4 0 12 Apr 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum Zeyang Zhang Ziwei Zhang Xin Wang Wenwu Zhu 26 42 0 07 Apr 2022
Jump-Start Reinforcement Learning Ikechukwu Uchendu Ted Xiao Yao Lu Banghua Zhu Mengyuan Yan ... Chuyuan Fu Cong Ma Jiantao Jiao Sergey Levine Karol Hausman OffRL OnRL 35 109 0 05 Apr 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 117 0 02 Mar 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics Honghu Xue Benedikt Hein M. Bakr Georg Schildbach Bengt Abel Elmar Rueckert 16 15 0 23 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 15 8 0 28 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 34 16 0 22 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 34 4 0 06 Oct 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn Sungtae Lee Jongwook Choi H. V. Seijen Mehdi Fatemi Honglak Lee 108 3 0 13 Jul 2021
Learning from Demonstration without Demonstrations Tom Blau Gilad Francis Philippe Morere OffRL 14 1 0 17 Jun 2021
Heuristic-Guided Reinforcement Learning Ching-An Cheng Andrey Kolobov Adith Swaminathan OffRL 30 61 0 05 Jun 2021
Solving Sokoban with forward-backward reinforcement learning Yaron Shoham G. Elidan OffRL 32 6 0 05 May 2021
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments Benjamin Rivière Wolfgang Hoenig Matthew O. Anderson Soon-Jo Chung 22 12 0 20 Apr 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 79 76 0 13 Jan 2021
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 28 40 0 15 Dec 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks Zheng Wu Wenzhao Lian Vaibhav Unhelkar M. Tomizuka S. Schaal 8 37 0 17 Nov 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 27 8 0 16 Nov 2020
Joint Space Control via Deep Reinforcement Learning Visak C. V. Kumar David Hoeller Balakumar Sundaralingam Jonathan Tremblay Stan Birchfield DRL 19 15 0 12 Nov 2020