Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

19 November 2015

Jimmy Lei Ba

Papers citing "Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning"

50 / 120 papers shown

Title
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits Jiabin Lin Shana Moothedath Namrata Vaswani 64 4 0 08 Jan 2025
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model Mingcan Xiang Steven Jiaxun Tang Qizheng Yang Hui Guan Tongping Liu VLM 39 0 0 07 Aug 2024
BAKU: An Efficient Transformer for Multi-Task Policy Learning Siddhant Haldar Zhuoran Peng Lerrel Pinto OffRL 46 28 0 11 Jun 2024
Shared learning of powertrain control policies for vehicle fleets Lindsey Kerbel B. Ayalew Andrej Ivanco 31 0 0 27 Apr 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 38 0 0 25 Apr 2024
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation Alican Mertan Nick Cheney 34 0 0 22 Apr 2024
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control Zheng Xiong Risto Vuorio Jacob Beck Matthieu Zimmer Kun Shao Shimon Whiteson 39 1 0 09 Feb 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement Dayou Mao Yuhao Chen Yifan Wu Maximilian Gilles Alexander Wong AAML 41 0 0 05 Feb 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 59 124 0 17 Jan 2024
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization Pablo V. A. Barros A. Sciutti SSL 33 3 0 02 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control Pei Xu Kaixiang Xie Sheldon Andrews P. Kry Michael Neff Morgan McGuire Ioannis Karamouzas Victor Zordan TTA 37 17 0 30 Sep 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse Siyuan Li Haoyang Li Jin Zhang Zhen Wang Peng Liu Chongjie Zhang OffRL 24 1 0 14 Aug 2023
Collaborative Development of NLP models Fereshte Khani Marco Tulio Ribeiro 38 2 0 20 May 2023
Intelligent multicast routing method based on multi-agent deep reinforcement learning in SDWN Hongwen Hu Miao Ye Chenwei Zhao Qiuxiang Jiang Yong Wang Hongbing Qiu Xiaofang Deng 22 2 0 12 May 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 50 143 0 26 Apr 2023
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer Hannes Eriksson D. Basu Tommy Tram Mina Alibeigi Christos Dimitrakakis 21 1 0 18 Feb 2023
MINOTAUR: Multi-task Video Grounding From Multimodal Queries Raghav Goyal E. Mavroudi Xitong Yang Sainbayar Sukhbaatar Leonid Sigal Matt Feiszli Lorenzo Torresani Du Tran 26 7 0 16 Feb 2023
Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem Hélène Plisnier Denis Steckelmacher Jeroen Willems B. Depraetere Ann Nowé OffRL 32 1 0 30 Jan 2023
Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes Aviral Kumar Rishabh Agarwal Xinyang Geng George Tucker Sergey Levine OffRL 44 48 0 28 Nov 2022
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration Giulia Vezzani Dhruva Tirumala Markus Wulfmeier Dushyant Rao A. Abdolmaleki ... Tim Hertweck Thomas Lampe Fereshteh Sadeghi N. Heess Martin Riedmiller OffRL 41 6 0 24 Nov 2022
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets David Venuto Sherry Yang Pieter Abbeel Doina Precup Igor Mordatch Ofir Nachum OffRL 25 5 0 23 Nov 2022
M $^3$ ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design Hanxue Liang Zhiwen Fan Rishov Sarkar Ziyu Jiang Tianlong Chen Kai Zou Yu Cheng Cong Hao Zhangyang Wang MoE 42 81 0 26 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 34 6 0 22 Oct 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu Shangqun Yu Michael Littman George Konidaris BDL OffRL 24 12 0 20 Oct 2022
Hypernetworks in Meta-Reinforcement Learning Jacob Beck Matthew Jackson Risto Vuorio Shimon Whiteson OffRL 27 30 0 20 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu Nicklas Hansen Zirui Wang Yung-Chieh Chan H. Su Zhuowen Tu OffRL 31 15 0 19 Oct 2022
Meta Reinforcement Learning for Optimal Design of Legged Robots Álvaro Belmonte-Baeza Joonho Lee Giorgio Valsecchi Marco Hutter 43 17 0 06 Oct 2022
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies Haozhi Wang Qing Wang Yunfeng Shao Dong Li Jianye Hao Yinchuan Li 28 0 0 21 Sep 2022
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems Arne Gevaert Jonathan Peck Yvan Saeys 23 1 0 07 Sep 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 27 3 0 07 Aug 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 27 32 0 11 Jul 2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework Shunyu Liu Kaixuan Chen Na Yu Mingli Song Zunlei Feng Mingli Song 47 1 0 05 Jul 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Rameswar Panda Marc G. Bellemare OffRL OnRL 37 63 0 03 Jun 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 23 33 0 29 May 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 49 9 0 28 May 2022
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation Alex X. Lee Coline Devin Jost Tobias Springenberg Yuxiang Zhou Thomas Lampe A. Abdolmaleki Konstantinos Bousmalis OffRL OnRL 24 15 0 06 May 2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing Jonathan M Francis Bingqing Chen Siddha Ganju Sidharth Kathpal Jyotish Poonganam ... Ivan Zhukov Max Kumskoy Anirudh Koul Jean Oh Eric Nyberg 19 12 0 05 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 43 16 0 29 Mar 2022
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning Shiming Chen Ziming Hong Guosen Xie Wenhan Wang Qinmu Peng Kai Wang Jian-jun Zhao Xinge You VLM 23 100 0 07 Mar 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 22 9 0 24 Feb 2022
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms Romain Laroche Rémi Tachet des Combes 46 2 0 15 Feb 2022
Transferred Q-learning Elynn Y. Chen Michael I. Jordan Sai Li OffRL OnRL 33 4 0 09 Feb 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 39 74 0 11 Jan 2022
Curriculum Learning for Safe Mapless Navigation Luca Marzari Davide Corsi Enrico Marchesini Alessandro Farinelli 24 14 0 23 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 47 298 0 26 Oct 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
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 37 2 0 06 Oct 2021
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning M. Crawshaw Jana Kosecka 26 7 0 16 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 Sep 2021