6 citations · 13 across the 7 of their papers we have counts for
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cs.LG2018
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation
Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski
Here we propose using the successor representation (SR) to accelerate learning in a constructive knowledge system based on general value functions (GVFs). In real-world settings li…
cs.AI2018★ 5 cited
Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods
Craig Sherstan, Brendan Bennett, Kenny Young +4
This paper investigates estimating the variance of a temporal-difference learning agent's update target. Most reinforcement learning methods use an estimate of the value function,…