Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning

22 March 2022

Papers citing "Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning"

6 / 6 papers shown

Title
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation Bo Pang Zhong-Ping Jiang 40 34 0 25 Aug 2020
t-Soft Update of Target Network for Deep Reinforcement Learning Taisuke Kobayashi Wendyam Eric Lionel Ilboudo 87 50 0 25 Aug 2020
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills Zhaoming Xie Hung Yu Ling N. Kim M. van de Panne 112 105 0 09 May 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska S. Zhang A. Leon-Garcia Nicolas Papernot AAML 69 65 0 08 Mar 2020
CAQL: Continuous Action Q-Learning Moonkyung Ryu Yinlam Chow Ross Anderson Christian Tjandraatmadja Craig Boutilier 197 42 0 26 Sep 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 38 183 0 22 Aug 2019