2 citations · 4 across the 3 of their papers we have counts for
5 papers · 1 filter
Frequency-based Search-control in Dyna
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
Model-based reinforcement learning has been empirically demonstrated as a successful strategy to improve sample efficiency. In particular, Dyna is an elegant model-based architectu…
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online
Yangchen Pan, Kirby Banman, Martha White
Recent work has shown that sparse representations -- where only a small percentage of units are active -- can significantly reduce interference. Those works, however, relied on rel…
Hill Climbing on Value Estimates for Search-control in Dyna
Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand +1
Dyna is an architecture for model-based reinforcement learning (RL), where simulated experience from a model is used to update policies or value functions. A key component of Dyna…
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
Yangchen Pan, Amir-massoud Farahmand, Martha White +3
Recent work has shown that reinforcement learning (RL) is a promising approach to control dynamical systems described by partial differential equations (PDE). This paper shows how…
Effective sketching methods for value function approximation
Yangchen Pan, Erfan Sadeqi Azer, Martha White
High-dimensional representations, such as radial basis function networks or tile coding, are common choices for policy evaluation in reinforcement learning. Learning with such high…