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Ray Interference: a Source of Plateaus in Deep Reinforcement Learning

Ray Interference: a Source of Plateaus in Deep Reinforcement Learning

25 April 2019
Tom Schaul
Diana Borsa
Joseph Modayil
Razvan Pascanu
ArXivPDFHTML

Papers citing "Ray Interference: a Source of Plateaus in Deep Reinforcement Learning"

13 / 13 papers shown
Title
A social path to human-like artificial intelligence
A social path to human-like artificial intelligence
Edgar A. Duénez-Guzmán
Suzanne Sadedin
Jane X. Wang
Kevin R. McKee
Joel Z Leibo
GNN
31
28
0
22 May 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on
  Light-Weighed Backbones and Effective Measurement of Multi-Task Learning
  Challenges by Feature Disentanglement
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
Dayou Mao
Yuhao Chen
Yifan Wu
Maximilian Gilles
Alexander Wong
AAML
41
0
0
05 Feb 2024
Improving Policy Optimization with Generalist-Specialist Learning
Improving Policy Optimization with Generalist-Specialist Learning
Zhiwei Jia
Xuanlin Li
Z. Ling
Shuang Liu
Yiran Wu
H. Su
OffRL
32
24
0
26 Jun 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning
Understanding and Preventing Capacity Loss in Reinforcement Learning
Clare Lyle
Mark Rowland
Will Dabney
CLL
36
109
0
20 Apr 2022
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
35
77
0
16 Sep 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
OffRL
9
89
0
23 May 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
47
271
0
16 Apr 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
516
0
04 Feb 2021
Gradient Vaccine: Investigating and Improving Multi-task Optimization in
  Massively Multilingual Models
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Zirui Wang
Yulia Tsvetkov
Orhan Firat
Yuan Cao
24
196
0
12 Oct 2020
Probably Approximately Correct Constrained Learning
Probably Approximately Correct Constrained Learning
Luiz F. O. Chamon
Alejandro Ribeiro
22
37
0
09 Jun 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
36
1,172
0
19 Jan 2020
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
59
1,126
0
24 Oct 2019
Off-Policy Actor-Critic with Shared Experience Replay
Off-Policy Actor-Critic with Shared Experience Replay
Simon Schmitt
Matteo Hessel
Karen Simonyan
OffRL
24
68
0
25 Sep 2019
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