A Game-Theoretic Perspective of Generalization in Reinforcement Learning

A Game-Theoretic Perspective of Generalization in Reinforcement Learning

7 August 2022

Zhen Wang

Papers citing "A Game-Theoretic Perspective of Generalization in Reinforcement Learning"

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Title
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 278 109 0 13 Jul 2021
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks Aye Phyu Phyu Aung Xinrun Wang Runsheng Yu Bo An Senthilnath Jayavelu Xiaoli Li 29 8 0 17 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 64 162 0 21 Jan 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 180 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017