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Curriculum Reinforcement Learning via Morphology-Environment
  Co-Evolution

Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution

21 September 2023
Shuang Ao
Tianyi Zhou
Guodong Long
Xuan Song
Jing Jiang
ArXivPDFHTML

Papers citing "Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution"

5 / 5 papers shown
Title
DSADF: Thinking Fast and Slow for Decision Making
DSADF: Thinking Fast and Slow for Decision Making
Alex Zhihao Dou
Dongfei Cui
Jun Yan
W. Wang
Benteng Chen
Haoming Wang
Zeke Xie
Shufei Zhang
OffRL
41
0
0
13 May 2025
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent
  poLicy for InTerpretability
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability
Shuang Ao
Simon Khan
Haris Aziz
Flora D. Salim
37
0
0
20 Jun 2024
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
149
458
0
10 Mar 2020
Scalable Co-Optimization of Morphology and Control in Embodied Machines
Scalable Co-Optimization of Morphology and Control in Embodied Machines
Nick Cheney
Josh Bongard
Vytas SunSpiral
Hod Lipson
31
104
0
19 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
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