Fast Task Inference with Variational Intrinsic Successor Features

Fast Task Inference with Variational Intrinsic Successor Features

12 June 2019

David Warde-Farley

Papers citing "Fast Task Inference with Variational Intrinsic Successor Features"

11 / 111 papers shown

Title
Discovering a set of policies for the worst case reward Tom Zahavy André Barreto D. Mankowitz Shaobo Hou Brendan O'Donoghue Iurii Kemaev Satinder Singh OffRL 19 23 0 08 Feb 2021
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley S. Hansen Volodymyr Mnih 10 42 0 14 Dec 2020
Reset-Free Lifelong Learning with Skill-Space Planning Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch CLL OffRL 41 38 0 07 Dec 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 8 34 0 27 Oct 2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning Tarun Gupta Anuj Mahajan Bei Peng Wendelin Bohmer Shimon Whiteson OffRL 6 49 0 06 Oct 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 23 168 0 07 Jul 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 6 33 0 02 Jun 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 17 150 0 10 Feb 2020
Disentangled Cumulants Help Successor Representations Transfer to New Tasks Christopher Grimm I. Higgins André Barreto Denis Teplyashin Markus Wulfmeier Tim Hertweck R. Hadsell Satinder Singh 9 14 0 25 Nov 2019
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Shangtong Zhang Andrzej Wojcicki Mai Xu LRM 22 15 0 12 May 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 17 7 0 26 Feb 2019