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Self-Paced Deep Reinforcement Learning

Self-Paced Deep Reinforcement Learning

24 April 2020
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
    ODL
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Papers citing "Self-Paced Deep Reinforcement Learning"

15 / 15 papers shown
Title
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
71
2
0
29 Sep 2024
Exploring CausalWorld: Enhancing robotic manipulation via knowledge
  transfer and curriculum learning
Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning
Xinrui Wang
Yan Jin
34
1
0
25 Mar 2024
Variational Curriculum Reinforcement Learning for Unsupervised Discovery
  of Skills
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSL
DRL
41
7
0
30 Oct 2023
Self-Paced Absolute Learning Progress as a Regularized Approach to
  Curriculum Learning
Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning
Tobias Niehues
Ulla Scheler
Pascal Klink
24
0
0
09 Jun 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Cevahir Köprülü
Ufuk Topcu
23
3
0
25 May 2023
Proximal Curriculum for Reinforcement Learning Agents
Proximal Curriculum for Reinforcement Learning Agents
Georgios Tzannetos
Bárbara Gomes Ribeiro
Parameswaran Kamalaruban
Adish Singla
32
5
0
25 Apr 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg
Shie Mannor
Gal Chechik
E. Meirom
OffRL
OOD
21
6
0
26 Jan 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
41
24
0
18 Oct 2022
Automated Dynamic Algorithm Configuration
Automated Dynamic Algorithm Configuration
Steven Adriaensen
André Biedenkapp
Gresa Shala
Noor H. Awad
Theresa Eimer
Marius Lindauer
Frank Hutter
32
36
0
27 May 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum
  Circuits
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
Jiahao Yao
Haoya Li
Marin Bukov
Lin Lin
Lexing Ying
16
15
0
30 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
41
23
0
05 Oct 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
27
21
0
17 Mar 2021
Meta Automatic Curriculum Learning
Meta Automatic Curriculum Learning
Rémy Portelas
Clément Romac
Katja Hofmann
Pierre-Yves Oudeyer
27
8
0
16 Nov 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
29
125
0
22 Jun 2020
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