Learning and Transfer of Modulated Locomotor Controllers

17 October 2016

Martin Riedmiller

David Silver

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Papers citing "Learning and Transfer of Modulated Locomotor Controllers"

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Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 41 3 0 27 Dec 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 32 73 0 22 Feb 2023
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents Minghuan Liu Zhengbang Zhu Menghui Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao 18 0 0 18 Dec 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
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 37 35 0 19 Sep 2022
What deep reinforcement learning tells us about human motor learning and vice-versa Michele Garibbo Casimir J. H. Ludwig Nathan Lepora Laurence Aitchison 21 0 0 23 Aug 2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL Wei Shi Hanrui Wang Jiaqi Gu Mingjie Liu David Z. Pan Song Han Nan Sun 14 14 0 13 Jul 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 28 15 0 04 May 2022
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data Wenxuan Zhou Steven Bohez Jan Humplik A. Abdolmaleki Dushyant Rao Markus Wulfmeier Tuomas Haarnoja N. Heess OffRL 40 6 0 12 Apr 2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets Yunfei Li Tao Kong Lei Li Yi Wu 50 4 0 12 Apr 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu Zhengbang Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao Yong Yu Jun Wang 35 11 0 04 Mar 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
Neural Circuit Architectural Priors for Embodied Control Nikhil X. Bhattasali A. Zador Tatiana A. Engel 88 5 0 13 Jan 2022
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao Fereshteh Sadeghi Leonard Hasenclever Markus Wulfmeier Martina Zambelli ... Dhruva Tirumala Y. Aytar J. Merel N. Heess R. Hadsell 26 28 0 09 Dec 2021
Learning to Jump from Pixels G. Margolis Tao Chen Kartik Paigwar Xiang Fu Donghyun Kim Sangbae Kim Pulkit Agrawal 57 82 0 28 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 13 6 0 08 Oct 2021
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning N. Botteghi L.J.L. Grefte M. Poel B. Sirmaçek C. Brune Edwin Dertien Stefano Stramigioli 27 4 0 08 Jul 2021
The Option Keyboard: Combining Skills in Reinforcement Learning André Barreto Diana Borsa Shaobo Hou Gheorghe Comanici Eser Aygun ... Daniel Toyama Jonathan J. Hunt Shibl Mourad David Silver Doina Precup 38 98 0 24 Jun 2021
From Motor Control to Team Play in Simulated Humanoid Football Siqi Liu Guy Lever Zhe Wang J. Merel S. M. Ali Eslami ... Tuomas Haarnoja Brendan D. Tracey K. Tuyls T. Graepel N. Heess 31 130 0 25 May 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning Julen Urain Anqi Li Puze Liu Carlo DÉramo Jan Peters 33 25 0 11 May 2021
Online Baum-Welch algorithm for Hierarchical Imitation Learning Vittorio Giammarino I. Paschalidis OffRL 19 2 0 22 Mar 2021
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah Tom Zahavy Matteo Hessel Zhongwen Xu Junhyuk Oh Iurii Kemaev H. V. Hasselt David Silver Satinder Singh 29 33 0 12 Feb 2021
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion Deepali Jain Atil Iscen Ken Caluwaerts 29 35 0 23 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 53 609 0 10 Sep 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion Roland Hafner Tim Hertweck Philipp Kloppner Michael Bloesch Michael Neunert Markus Wulfmeier S. Tunyasuvunakool N. Heess Martin Riedmiller 20 19 0 06 Aug 2020
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 31 47 0 30 Jul 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot M. Schilling Kai Konen F. Ohl Timo Korthals 21 18 0 21 May 2020
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li Fei Xia R. M. Martin Silvio Savarese 30 100 0 24 Oct 2019
Explaining and Interpreting LSTMs L. Arras Jose A. Arjona-Medina Michael Widrich G. Montavon Michael Gillhofer K. Müller Sepp Hochreiter Wojciech Samek FAtt AI4TS 21 79 0 25 Sep 2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control Yu-Wei Chao Jimei Yang Weifeng Chen Jia Deng 24 42 0 20 Aug 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 30 27 0 26 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 29 71 0 13 Jun 2019
Hierarchical Reinforcement Learning for Quadruped Locomotion Deepali Jain Atil Iscen Ken Caluwaerts 30 53 0 22 May 2019
The Termination Critic Anna Harutyunyan Will Dabney Diana Borsa N. Heess Rémi Munos Doina Precup OffRL 16 48 0 26 Feb 2019
Emergent Coordination Through Competition Siqi Liu Guy Lever J. Merel S. Tunyasuvunakool N. Heess T. Graepel 41 148 0 19 Feb 2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel D. Mankowitz Augustin Žídek Rémi Munos OffRL 41 161 0 30 Jan 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 28 114 0 18 Dec 2018
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 27 72 0 05 Dec 2018
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning Chuanyu Yang Taku Komura Zhibin Li 21 20 0 06 Sep 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models Alexander Neitz Giambattista Parascandolo Stefan Bauer Bernhard Schölkopf 15 38 0 14 Aug 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 30 212 0 20 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 31 142 0 07 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 50 797 0 21 May 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments L. Kidzinski Sharada Mohanty Carmichael F. Ong Zhewei Huang Shuchang Zhou ... Sean F. Carroll Jennifer Hicks Sergey Levine M. Salathé Scott L. Delp 34 87 0 02 Apr 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 26 316 0 26 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
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Junhyuk Oh Satinder Singh Honglak Lee Pushmeet Kohli OffRL 31 269 0 15 Jun 2017