Generalization and Regularization in DQN

Generalization and Regularization in DQN

29 September 2018

Jesse Farebrother

Marlos C. Machado

Michael Bowling

Papers citing "Generalization and Regularization in DQN"

9 / 59 papers shown

Title
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 25 21 0 17 Apr 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 45 541 0 03 Dec 2019
Robust Visual Domain Randomization for Reinforcement Learning Reda Bahi Slaoui W. Clements Jakob N. Foerster Sébastien Toth OOD 21 12 0 23 Oct 2019
Reasoning and Generalization in RL: A Tool Use Perspective Sam Wenke D. Saunders Mike Qiu J. Fleming OffRL LRM 18 5 0 03 Jul 2019
Generalizing from a few environments in safety-critical reinforcement learning Zachary Kenton Angelos Filos Owain Evans Y. Gal 15 16 0 02 Jul 2019
In Hindsight: A Smooth Reward for Steady Exploration H. Jomaa Josif Grabocka Lars Schmidt-Thieme 11 0 0 24 Jun 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 30 257 0 09 Apr 2019
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 54 661 0 06 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017