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Adaptive Procedural Task Generation for Hard-Exploration Problems
v1v2v3 (latest)

Adaptive Procedural Task Generation for Hard-Exploration Problems

1 July 2020
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
ArXiv (abs)PDFHTML

Papers citing "Adaptive Procedural Task Generation for Hard-Exploration Problems"

18 / 18 papers shown
SkillWrapper: Generative Predicate Invention for Task-level Planning
SkillWrapper: Generative Predicate Invention for Task-level Planning
Ziyi Yang
Benned Hedegaard
Ahmed Jaafar
Yichen Wei
Skye Thompson
...
Haotian Fu
Stefanie Tellex
George Konidaris
D. Paulius
Naman Shah
OCL
529
0
0
22 Nov 2025
Learning Versatile Skills with Curriculum Masking
Learning Versatile Skills with Curriculum MaskingNeural Information Processing Systems (NeurIPS), 2024
Yao Tang
Zhihui Xie
Zichuan Lin
Deheng Ye
Shuai Li
OffRL
403
3
0
23 Oct 2024
Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision,
  Physics Simulation, and a Robot with Reset
Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with ResetIEEE International Conference on Robotics and Automation (ICRA), 2024
Andrew Goldberg
Kavish Kondap
Tianshuang Qiu
Zehan Ma
Letian Fu
Justin Kerr
Huang Huang
Kaiyuan Chen
Kuan Fang
Ken Goldberg
310
15
0
25 Sep 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in
  Multi-Agent Reinforcement Learning
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
Zeyang Liu
Lipeng Wan
Xinrui Yang
Zhuoran Chen
Xingyu Chen
Xuguang Lan
349
7
0
28 Feb 2024
Visual Hindsight Self-Imitation Learning for Interactive Navigation
Visual Hindsight Self-Imitation Learning for Interactive NavigationIEEE Access (IEEE Access), 2023
Kibeom Kim
Kisung Shin
Min Whoo Lee
Moonhoen Lee
Minsu Lee
Byoung-Tak Zhang
253
4
0
05 Dec 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
AI4CE
321
1
0
11 Oct 2023
GenSim: Generating Robotic Simulation Tasks via Large Language Models
GenSim: Generating Robotic Simulation Tasks via Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Lirui Wang
Yiyang Ling
Zhecheng Yuan
Mohit Shridhar
Chen Bao
Yuzhe Qin
Bailin Wang
Huazhe Xu
Xiaolong Wang
LM&Ro
541
140
0
02 Oct 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task SpaceInternational Conference on Machine Learning (ICML), 2023
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&RoOffRLAI4CELRM
381
154
0
18 Jan 2023
Understanding the Complexity Gains of Single-Task RL with a Curriculum
Understanding the Complexity Gains of Single-Task RL with a CurriculumInternational Conference on Machine Learning (ICML), 2022
Qiyang Li
Yuexiang Zhai
Yi-An Ma
Sergey Levine
458
20
0
24 Dec 2022
Active Task Randomization: Learning Robust Skills via Unsupervised
  Generation of Diverse and Feasible Tasks
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kuan Fang
Toki Migimatsu
Ajay Mandlekar
Li Fei-Fei
Jeannette Bohg
209
8
0
11 Nov 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon
  Manipulation
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon ManipulationIEEE Robotics and Automation Letters (RA-L), 2022
Shuo Cheng
Danfei Xu
368
60
0
23 Oct 2022
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A SurveyInformation Fusion (Inf. Fusion), 2022
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
421
550
0
02 May 2022
Evolving Curricula with Regret-Based Environment Design
Evolving Curricula with Regret-Based Environment DesignInternational Conference on Machine Learning (ICML), 2022
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
554
174
0
02 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open ProblemsJournal of Artificial Intelligence Research (JAIR), 2022
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Katharina Eggensperger
Marius Lindauer
AI4CE
492
137
0
11 Jan 2022
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative
  Multi-Agent Problems
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
Jiayu Chen
Yuanxin Zhang
Yuanfan Xu
Huimin Ma
Huazhong Yang
Jiaming Song
Yu Wang
Yi Wu
VLMDRL
299
43
0
08 Nov 2021
Replay-Guided Adversarial Environment Design
Replay-Guided Adversarial Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
620
136
0
06 Oct 2021
Discovering Generalizable Skills via Automated Generation of Diverse
  Tasks
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
236
9
0
26 Jun 2021
Deep Learning for Procedural Content Generation
Deep Learning for Procedural Content Generation
Jialin Liu
Sam Snodgrass
Ahmed Khalifa
S. Risi
Georgios N. Yannakakis
Julian Togelius
3DV
369
172
0
09 Oct 2020
1
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