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20212026
most citedA Hybrid Approach for Reinforcement Learning Using Virtual Policy Gradient for Balancing an Inverted Pendulum

1 citations · 1 across the 5 of their papers we have counts for

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cs.LG2021★ 1 cited

A Hybrid Approach for Reinforcement Learning Using Virtual Policy Gradient for Balancing an Inverted Pendulum

Dylan Bates

Using the policy gradient algorithm, we train a single-hidden-layer neural network to balance a physically accurate simulation of a single inverted pendulum. The trained weights an…

cs.SE2021

Recommending More Efficient Workflows to Software Developers

Dylan Bates

Existing recommendation systems can help developers improve their software development abilities by recommending new programming tools, such as a refactoring tool or a program navi…