Composing Task Knowledge with Modular Successor Feature Approximators

v1v2 (latest)

Composing Task Knowledge with Modular Successor Feature Approximators

28 January 2023

Richard L. Lewis

ArXiv (abs)PDF HTML

Papers citing "Composing Task Knowledge with Modular Successor Feature Approximators"

15 / 15 papers shown

Title
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 61 99 0 24 Jun 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning Angelos Filos Clare Lyle Y. Gal Sergey Levine Natasha Jaques Gregory Farquhar 53 22 0 24 Feb 2021
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 119 178 0 09 Jul 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 120 226 0 01 Jun 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 91 660 0 30 Apr 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 84 557 0 03 Dec 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck Maximilian Igl K. Ciosek Yingzhen Li Sebastian Tschiatschek Cheng Zhang Sam Devlin Katja Hofmann OffRL 73 173 0 28 Oct 2019
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 93 367 0 13 Oct 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 107 164 0 30 Jan 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning Maxime Chevalier-Boisvert Dzmitry Bahdanau Salem Lahlou Lucas Willems Chitwan Saharia Thien Huu Nguyen Yoshua Bengio ELM 90 241 0 18 Oct 2018
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning David Janz Jiri Hron Przemysław Mazur Katja Hofmann José Miguel Hernández-Lobato Sebastian Tschiatschek 117 52 0 15 Oct 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 124 234 0 19 Mar 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 240 1,607 0 05 Feb 2018
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 74 295 0 16 Dec 2016
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer Coline Devin Abhishek Gupta Trevor Darrell Pieter Abbeel Sergey Levine OffRL 84 400 0 22 Sep 2016