On the Generalization Gap in Reparameterizable Reinforcement Learning

On the Generalization Gap in Reparameterizable Reinforcement Learning

29 May 2019

Huan Wang

Papers citing "On the Generalization Gap in Reparameterizable Reinforcement Learning"

9 / 9 papers shown

Title
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 4 0 29 Aug 2023
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness Haotian Ye Xiaoyu Chen Liwei Wang S. Du OffRL 37 6 0 19 Oct 2022
Offline Policy Optimization with Eligible Actions Yao Liu Yannis Flet-Berliac Emma Brunskill OffRL 25 5 0 01 Jul 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 64 199 0 21 Oct 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 30 63 0 17 Jun 2021
Discount Factor as a Regularizer in Reinforcement Learning Ron Amit Ron Meir K. Ciosek OffRL 22 72 0 04 Jul 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 109 0 23 Jun 2020
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 33 7 0 02 Jun 2019
New Analysis and Algorithm for Learning with Drifting Distributions M. Mohri Andrés Munoz Medina 97 124 0 19 May 2012