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Continuous Transition: Improving Sample Efficiency for Continuous
  Control Problems via MixUp
v1v2 (latest)

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp

IEEE International Conference on Robotics and Automation (ICRA), 2020
30 November 2020
Junfan Lin
Zhongzhan Huang
Keze Wang
Xiaodan Liang
Weiwei Chen
Liang Lin
ArXiv (abs)PDFHTML

Papers citing "Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp"

5 / 5 papers shown
Policy Learning for Off-Dynamics RL with Deficient Support
Policy Learning for Off-Dynamics RL with Deficient Support
Linh Le Pham Van
Hung The Tran
Sunil R. Gupta
280
6
0
16 Feb 2024
Continual Learning: Applications and the Road Forward
Continual Learning: Applications and the Road Forward
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
...
Joost van de Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
CLL
460
70
0
20 Nov 2023
Contrastive Initial State Buffer for Reinforcement Learning
Contrastive Initial State Buffer for Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2023
Nico Messikommer
Yunlong Song
Davide Scaramuzza
OffRL
390
13
0
18 Sep 2023
Causal Inference for Chatting Handoff
Causal Inference for Chatting Handoff
Shan Zhong
Jinghui Qin
Zhongzhan Huang
Daifeng Li
215
0
0
06 Oct 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for
  Improved Sample Efficiency in Continuous Control Tasks
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control TasksConference on Learning for Dynamics & Control (L4DC), 2022
Ryan M Sander
Wilko Schwarting
Tim Seyde
Igor Gilitschenski
S. Karaman
Daniela Rus
243
3
0
18 May 2022
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