Publications tagged "Optimization"


Taming the Noise in Reinforcement Learning via Soft Updates

Roy Fox*, Ari Pakman*, and Naftali Tishby

32nd Conference on Uncertainty in Artificial Intelligence (UAI), 2016


Toward Provably Unbiased Temporal-Difference Value Estimation

Roy Fox

Optimization Foundations for Reinforcement Learning workshop (OPTRL @ NeurIPS), 2019

An Empirical Exploration of Gradient Correlations in Deep Learning

Daniel Rothchild, Roy Fox, Noah Golmant, Joseph Gonzalez, Michael Mahoney, Kai Rothauge, Ion Stoica, and Zhewei Yao

Integration of Deep Learning Theories workshop (DLT @ NeurIPS), 2018


Information-Theoretic Methods for Planning and Learning in Partially Observable Markov Decision Processes

Roy Fox

PhD Thesis, 2016