Teacher-Student Curriculum Learning

1 July 2017

Papers citing "Teacher-Student Curriculum Learning"

50 / 74 papers shown

Title
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning Ahmed Abouelazm Tim Weinstein Tim Joseph Philip Schorner J. M. Zöllner 34 0 0 13 May 2025
Adaptively Point-weighting Curriculum Learning Wensheng Li Hao Wang Ruifeng Zhou Hanting Guan Chao Zhang Dacheng Tao ODL 43 0 0 03 May 2025
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning Taiwei Shi Yiyang Wu Linxin Song Dinesh Manocha Jieyu Zhao LRM 86 3 0 07 Apr 2025
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao Wenkai Yang Zihan Wang Yankai Lin Yong Liu ELM 107 1 0 03 Feb 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 84 1 0 28 Jan 2025
RealCustom++: Representing Images as Real-Word for Real-Time Customization Zhendong Mao Mengqi Huang Fei Ding Mingcong Liu Qian He Xiaojun Chang DiffM 78 6 0 03 Jan 2025
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 91 5 0 05 Dec 2024
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 82 0 0 20 Nov 2024
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 186 3 0 27 Sep 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen Tianyu Cao Ninon De Mecquenem Jiahe Li Zhilong Chen F. Friederici Yang Yang 46 1 0 31 Jul 2024
Automatic Environment Shaping is the Next Frontier in RL Younghyo Park G. Margolis Pulkit Agrawal OffRL 44 3 0 23 Jul 2024
Augmenting Offline RL with Unlabeled Data Zhao Wang Briti Gangopadhyay Jia-Fong Yeh Shingo Takamatsu OffRL 28 0 0 11 Jun 2024
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 21 16 0 08 Aug 2023
Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning Tobias Niehues Ulla Scheler Pascal Klink 29 0 0 09 Jun 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 32 5 0 25 Apr 2023
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents Yash Shukla A. Kulkarni Robert Wright Alvaro Velasquez Jivko Sinapov 23 1 0 11 Apr 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 38 109 0 18 Jan 2023
Teacher-student curriculum learning for reinforcement learning Yanick Schraner OffRL 37 2 0 31 Oct 2022
Teacher-Student Architecture for Knowledge Learning: A Survey Chengming Hu Xuan Li Dan Liu Xi Chen Ju Wang Xue Liu 27 35 0 28 Oct 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU Fenia Christopoulou Gerasimos Lampouras Ignacio Iacobacci 48 3 0 22 Oct 2022
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment Yilei Zeng Jiali Duan Yong Li Emilio Ferrara Lerrel Pinto Chloe Kuo Stefanos Nikolaidis 51 3 0 04 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David M. Klee Ondrej Biza Robert W. Platt OffRL 27 1 0 22 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Andrei Lupu Heinrich Küttler Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 43 13 0 11 Jul 2022
Black-box Generalization of Machine Teaching Xiaofeng Cao Yaming Guo Ivor W. Tsang James T. Kwok 28 0 0 30 Jun 2022
GraB: Finding Provably Better Data Permutations than Random Reshuffling Yucheng Lu Wentao Guo Christopher De Sa FedML 26 16 0 22 May 2022
Learning Progress Driven Multi-Agent Curriculum Wenshuai Zhao Zhiyuan Li Joni Pajarinen 40 0 0 20 May 2022
Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies A. Romero Gianluca Baldassarre Richard J. Duro V. Santucci 23 0 0 16 May 2022
Rapid Locomotion via Reinforcement Learning G. Margolis Ge Yang Kartik Paigwar Tao Chen Pulkit Agrawal 49 228 0 05 May 2022
Curriculum Learning for Dense Retrieval Distillation Hansi Zeng Hamed Zamani Vishwa Vinay 24 49 0 28 Apr 2022
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments Yash Shukla Christopher Thierauf Ramtin Hosseini Gyan Tatiya Jivko Sinapov 19 9 0 11 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 28 26 0 30 Mar 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
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles Suleman Qamar Dr. Saddam Hussain Khan Muhammad Arif Arshad Maryam Qamar Asifullah Khan 29 16 0 13 Feb 2022
Cyclical Curriculum Learning Himmet Toprak Kesgin M. Amasyalı ODL 19 8 0 11 Feb 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 36 43 0 21 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments Shreshth Tuli G. Casale N. Jennings 32 21 0 16 Dec 2021
Towards Interactive Language Modeling Maartje ter Hoeve Evgeny Kharitonov Dieuwke Hupkes Emmanuel Dupoux 26 4 0 14 Dec 2021
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Deze Wang Zhouyang Jia Shanshan Li Yue Yu Yun Xiong Wei Dong Xiangke Liao 38 80 0 04 Dec 2021
Curriculum Learning for Vision-and-Language Navigation Jiwen Zhang Zhongyu Wei Jianqing Fan J. Peng LM&Ro 26 21 0 14 Nov 2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems Jiayu Chen Yuanxin Zhang Yuanfan Xu Huimin Ma Huazhong Yang Jiaming Song Yu Wang Yi Wu VLM DRL 26 32 0 08 Nov 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 42 4 0 06 Oct 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 129 95 0 06 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
Accessibility-Based Clustering for Efficient Learning of Locomotion Skills Chong Zhang Wanming Yu Zhibin Li 31 9 0 23 Sep 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 37 14 0 09 Sep 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 27 0 27 Jul 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 55 181 0 27 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 48 6 0 26 Jun 2021