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Found 5 papers, 0 papers with code
Learning Nash Equilibria in Zero-Sum Markov Games: A Single Time-scale Algorithm Under Weak Reachability
We consider decentralized learning for zero-sum games, where players only see their payoff information and are agnostic to actions and payoffs of the opponent.
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration and Planning
Our regret bound is order-optimal with respect to $H$ and $K$.
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
We consider the problem of online linear regression in the stochastic setting.
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
In the fixed budget thresholding bandit problem, an algorithm sequentially allocates a budgeted number of samples to different distributions.
Learning Value Functions in Deep Policy Gradients using Residual Variance
We prove the theoretical consistency of the new gradient estimator and observe dramatic empirical improvement across a variety of continuous control tasks and algorithms.
