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Benchmark Environments for Multitask Learning in Continuous Domains

Benchmark Environments for Multitask Learning in Continuous Domains

14 August 2017
Peter Henderson
Wei-Di Chang
Florian Shkurti
Johanna Hansen
David Meger
Gregory Dudek
ArXivPDFHTML

Papers citing "Benchmark Environments for Multitask Learning in Continuous Domains"

7 / 7 papers shown
Title
Robotic Manipulation Datasets for Offline Compositional Reinforcement
  Learning
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing
Jorge Armando Mendez Mendez
Anisha Singrodia
Cassandra Kent
Eric Eaton
OffRL
35
5
0
13 Jul 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
Taha Toghani
Sebastian Perez-Salazar
César A. Uribe
37
2
0
20 May 2023
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
37
27
0
15 Jul 2022
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and
  Transfer Learning
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed
Frederik Trauble
Anirudh Goyal
Alexander Neitz
Yoshua Bengio
Bernhard Schölkopf
M. Wuthrich
Stefan Bauer
CML
37
120
0
08 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
24
46
0
25 Sep 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
36
38
0
14 Jul 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
28
5
0
07 Jan 2020
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