Policy gradient methods: variance reduction and stochastic convergence (2005)
In a reinforcement learning task an agent must learn a policy for performing actions so as to perform well in a given environment. Policy gradient methods consider a parameterized class of policies,...
Policy Gradient Methods: Variance Reduction and Stochastic Convergence (2005)
In a reinforcement learning task an agent must learn a policy for performing actions so as to perform well in a given environment. Policy gradient methods consider a parameterized class of policies,...
Policy Gradient Methods: Variance Reduction and Stochastic Convergence (2005)
In a reinforcement learning task an agent must learn a policy for performing actions so as to perform well in a given environment. Policy gradient methods consider a parameterized class of policies,...
Policy Gradient Methods: Variance Reduction and Stochastic Convergence (2005)
In a reinforcement learning task an agent must learn a policy for performing actions so as to perform well in a given environment. Policy gradient methods consider a parameterized class of policies,...
Policy Gradient Methods: Variance Reduction and Stochastic Convergence (2005)
In a reinforcement learning task an agent must learn a policy for performing actions so as to perform well in a given environment. Policy gradient methods consider a parameterized class of policies,...
Policy Gradient Methods: Variance Reduction and Stochastic Convergence (2005)
In a reinforcement learning task an agent must learn a policy for performing actions so as to perform well in a given environment. Policy gradient methods consider a parameterized class of policies,...
Policy Gradient Methods: Variance Reduction and Stochastic Convergence (2005)
In a reinforcement learning task an agent must learn a policy for performing actions so as to perform well in a given environment. Policy gradient methods consider a parameterized class of policies,...
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning (2002)
Evan Greensmith, Peter L. Bartlett, Jonathan Baxter
We consider the use of two additive control variate methods to reduce the variance of performance gradient estimates in reinforcement learning problems. The first approach we consider is the baseline...
Policy Gradient Methods: Variance Reduction and Stochastic Convergence
In a reinforcement learning task an agent must learn a policy for performing actions so as to perform well in a given environment. Policy gradient methods consider a parameterized class of policies,...