Trajectory-wise Multiple Choice Learning for Dynamics Generalization in
Reinforcement Learning

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

26 October 2020

Thanard Kurutach

Pieter Abbeel

Papers citing "Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning"

7 / 7 papers shown

Title
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 89 3 0 20 Aug 2024
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning Mohammadreza Nakhaei Aidan Scannell J. Pajarinen OffRL 49 1 0 12 Jun 2024
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 27 3 0 24 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 71 45 0 16 Sep 2022
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
Active Reinforcement Learning over MDPs Qi Yang Peng Yang K. Tang 33 0 0 05 Aug 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017