DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body

28 September 2022

Papers citing "DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body"

22 / 22 papers shown

Title
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology Brandon Trabucco Mariano Phielipp Glen Berseth 67 28 0 17 Jun 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 75 29 0 09 Dec 2021
RMA: Rapid Motor Adaptation for Legged Robots Ashish Kumar Zipeng Fu Deepak Pathak Jitendra Malik 166 584 0 08 Jul 2021
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 127 178 0 09 Jul 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 79 58 0 12 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 404 1,991 0 11 Apr 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 87 557 0 03 Dec 2019
Generalization of Reinforcement Learners with Working and Episodic Memory Meire Fortunato Melissa Tan Ryan Faulkner Steven Hansen Adria Puigdomenech Badia Gavin Buttimore Charlie Deck Joel Z Leibo Charles Blundell 104 70 0 29 Oct 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 74 74 0 13 Jun 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 81 48 0 19 Feb 2019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak Chris Xiaoxuan Lu Trevor Darrell Phillip Isola Alexei A. Efros 53 135 0 14 Feb 2019
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 136 553 0 30 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 198 5,226 0 26 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 205 9,492 0 09 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,432 0 04 Jan 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 119 1,368 0 18 Oct 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 269 2,976 0 20 Mar 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 105 309 0 08 Feb 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 984 0 17 Nov 2016
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 315 818 0 13 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 107 1,028 0 09 Nov 2016
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,022 0 19 Jul 2012