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cs.LG2026
Stability and Sensitivity Analysis of Relative Temporal-Difference Learning: Extended Version
Masoud S. Sakha, Rushikesh Kamalapurkar, Sean Meyn
Relative temporal-difference (TD) learning was introduced to mitigate the slow convergence of TD methods when the discount factor approaches one by subtracting a baseline from the…
cs.LG2026
Optimistic Training and Convergence of Q-Learning -- Extended Version
Prashant Mehta, Sean Meyn
In recent work it is shown that Q-learning with linear function approximation is stable, in the sense of bounded parameter estimates, under the -tamed Gibbs policy…