Feb 25, 2017 · In this paper, we focus on policy evaluation with linear function approximation over a fixed dataset.
In this paper, we focus on policy evaluation with linear function approximation over a fixed dataset.
Abstract. Policy evaluation is concerned with estimating the value function that predicts long-term val- ues of states under a given policy. It is a cru-.
In particular, we transform the policy evaluation problem into an empirical (quadratic) saddle-point problem and apply stochastic variance reduction methods in ...
60-day returns
Aug 15, 2024 · Abstract. This monograph introduces various value-based approaches for solving the policy evaluation problem in the online reinforcement ...
Jun 9, 2017 · Abstract. Policy evaluation is concerned with estimating the value function that predicts long-term val- ues of states under a given policy.
Duration: 47:16
Posted: Feb 13, 2017
Posted: Feb 13, 2017
This paper first transforms the empirical policy evaluation problem into a (quadratic) convex-concave saddle point problem, and then presents a primal-dual ...
Stochastic Variance Reduction Methods for Policy Evaluation
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The course covers various tools such as notation, objective functions for policy evaluation, and different optimization algorithms like Stochastic Gradient ...
Aug 15, 2024 · This monograph introduces various value-based approaches for solving the policy evaluation problem in the online reinforcement learning (RL) scenario.