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Rethinking Teacher-Student Curriculum Learning through the Cooperative
  Mechanics of Experience

Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience

3 April 2024
Manfred Diaz
Liam Paull
Andrea Tacchetti
ArXivPDFHTML

Papers citing "Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience"

8 / 8 papers shown
Title
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum
  Generation
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation
Yuqing Du
Pieter Abbeel
Aditya Grover
28
18
0
22 Feb 2022
Robust Reinforcement Learning as a Stackelberg Game via
  Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
59
37
0
19 Feb 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
137
91
0
17 Jan 2022
Efficiently Identifying Task Groupings for Multi-Task Learning
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
201
238
1
10 Sep 2021
Disentangling Transfer and Interference in Multi-Domain Learning
Disentangling Transfer and Interference in Multi-Domain Learning
Yipeng Zhang
Tyler L. Hayes
Christopher Kanan
22
3
0
02 Jul 2021
Curriculum Learning: A Survey
Curriculum Learning: A Survey
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
N. Sebe
ODL
63
337
0
25 Jan 2021
Negotiating Team Formation Using Deep Reinforcement Learning
Negotiating Team Formation Using Deep Reinforcement Learning
Yoram Bachrach
Richard Everett
Edward Hughes
Angeliki Lazaridou
Joel Z. Leibo
Marc Lanctot
Michael Bradley Johanson
Wojciech M. Czarnecki
T. Graepel
41
35
0
20 Oct 2020
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
132
455
0
10 Mar 2020
1