Measuring and Characterizing Generalization in Deep Reinforcement
Learning

Measuring and Characterizing Generalization in Deep Reinforcement Learning

7 December 2018

Michael Littman

David D. Jensen

Papers citing "Measuring and Characterizing Generalization in Deep Reinforcement Learning"

10 / 10 papers shown

Title
An Efficient Approach for Cooperative Multi-Agent Learning Problems Ángel Aso-Mollar Eva Onaindia 26 0 0 07 Apr 2025
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab Homayoun Najjaran 40 11 0 04 Oct 2023
Novelty Accommodating Multi-Agent Planning in High Fidelity Simulated Open World James Chao W. Piotrowski Roni Stern Héctor J. Ortiz-Peña Mitch Manzanares Shiwali Mohan D. Lange 30 0 0 22 Jun 2023
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 27 0 0 07 Nov 2022
Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping Victor R. F. Miranda A. A. Neto G. Freitas L. Mozelli 39 18 0 28 Sep 2022
Measuring Interventional Robustness in Reinforcement Learning Katherine Avery Jack Kenney Pracheta Amaranath Erica Cai David D. Jensen 21 0 0 19 Sep 2022
Example When Local Optimal Policies Contain Unstable Control B. Song Jean-Jacques E. Slotine Quang Pham 51 1 0 15 Sep 2022
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Rishabh Agarwal Marlos C. Machado Pablo Samuel Castro Marc G. Bellemare OffRL 55 164 0 13 Jan 2021
Robust Visual Domain Randomization for Reinforcement Learning Reda Bahi Slaoui W. Clements Jakob N. Foerster Sébastien Toth OOD 21 12 0 23 Oct 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning W. Clements B. V. Delft Benoît-Marie Robaglia Reda Bahi Slaoui Sébastien Toth 35 96 0 23 May 2019