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 / 123 papers shown

Title
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 24 7 0 30 Aug 2021
Playful Interactions for Representation Learning Sarah Young Jyothish Pari Pieter Abbeel Lerrel Pinto SSL 44 14 0 19 Jul 2021
On the Power of Multitask Representation Learning in Linear MDP Rui Lu Gao Huang S. Du 27 28 0 15 Jun 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 271 0 16 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 29 70 0 12 Apr 2021
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation Emilio Parisotto Ruslan Salakhutdinov 42 44 0 04 Apr 2021
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning Jaskirat Singh Liang Zheng OffRL 21 3 0 14 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 182 0 11 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 516 0 04 Feb 2021
Universal Trading for Order Execution with Oracle Policy Distillation Yuchen Fang Kan Ren Weiqing Liu Dong Zhou Weinan Zhang Jiang Bian Yong Yu Tie-Yan Liu OffRL 18 45 0 28 Jan 2021
A Survey on Ensemble Learning under the Era of Deep Learning Yongquan Yang Haijun Lv Ning Chen OOD 67 182 0 21 Jan 2021
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers Siyi Hu Fengda Zhu Xiaojun Chang Xiaodan Liang OffRL 37 71 0 20 Jan 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency Qiang Zhang Tete Xiao Alexei A. Efros Lerrel Pinto Xiaolong Wang 20 62 0 17 Dec 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 26 25 0 27 Nov 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 27 86 0 05 Oct 2020
On Losses for Modern Language Models Stephane Aroca-Ouellette Frank Rudzicz 22 33 0 04 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 48 609 0 10 Sep 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang Shagun Sodhani Khimya Khetarpal Joelle Pineau 31 5 0 14 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting Jorge Armando Mendez Mendez Boyu Wang Eric Eaton CLL 36 38 0 14 Jul 2020
Tracking-by-Trackers with a Distilled and Reinforced Model Matteo Dunnhofer N. Martinel C. Micheloni VOT OffRL 27 4 0 08 Jul 2020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 20 28 0 03 Jul 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization Sang Michael Xie Tengyu Ma Percy Liang 35 13 0 29 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 27 84 0 10 Jun 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 27 176 0 30 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 33 20 0 29 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 25 40 0 03 Mar 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 18 86 0 25 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 41 1,172 0 19 Jan 2020
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 19 52 0 23 Dec 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 89 1,126 0 24 Oct 2019
Deep Model Transferability from Attribution Maps Mingli Song Yixin Chen Xinchao Wang Chengchao Shen Xiuming Zhang 27 54 0 26 Sep 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 44 0 10 Aug 2019
Transfer Learning Across Simulated Robots With Different Sensors Hélène Plisnier Denis Steckelmacher D. Roijers A. Nowé OffRL 31 1 0 18 Jul 2019
Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration Qisheng Wang Qichao Wang 18 1 0 18 Jul 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding Kevin Clark Minh-Thang Luong Urvashi Khandelwal Christopher D. Manning Quoc V. Le 21 228 0 10 Jul 2019
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 17 18 0 05 Jul 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 23 17 0 11 Mar 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 35 26 0 28 Jan 2019
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 13 102 0 06 Dec 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 25 203 0 29 Sep 2018
Context-Aware Policy Reuse Siyuan Li Fangda Gu Guangxiang Zhu Chongjie Zhang OffRL 22 36 0 11 Jun 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization Hoi-To Wai Zhuoran Yang Zhaoran Wang Mingyi Hong 30 169 0 03 Jun 2018
Efficient Entropy for Policy Gradient with Multidimensional Action Space Yiming Zhang Q. Vuong Kenny Song Xiao-Yue Gong Keith Ross 27 17 0 02 Jun 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 15 177 0 10 Apr 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kaipeng Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 43 582 0 23 Feb 2018
Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play Yongxi Tan Jin Yang Xin Chen Qitao Song Yunjun Chen Zhangxiang Ye Zhenqiang Su 22 2 0 18 Feb 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control Glen Berseth Kevin Xie Paul Cernek M. van de Panne 29 56 0 13 Feb 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 31 231 0 01 Nov 2017