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Multi-Horizon Representations with Hierarchical Forward Models for
  Reinforcement Learning

Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning

22 June 2022
Trevor A. McInroe
Lukas Schafer
Stefano V. Albrecht
ArXivPDFHTML

Papers citing "Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning"

4 / 4 papers shown
Title
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin
Trevor A. McInroe
Pablo Samuel Castro
Prakash Panangaden
Christopher G. Lucas
David Abel
Stefano V. Albrecht
56
0
0
08 Mar 2025
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at
  Scale
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Yao Lu
Karol Hausman
Yevgen Chebotar
Mengyuan Yan
Eric Jang
...
Ted Xiao
A. Irpan
Mohi Khansari
Dmitry Kalashnikov
Sergey Levine
OffRL
92
59
0
09 Nov 2021
The Distracting Control Suite -- A Challenging Benchmark for
  Reinforcement Learning from Pixels
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
Austin Stone
Oscar Ramirez
K. Konolige
Rico Jonschkowski
137
101
0
07 Jan 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
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