Discretizing Continuous Action Space for On-Policy Optimization
arXiv: Learning, 2019.
In this work, we show that discretizing action space for continuous control is a simple yet powerful technique for on-policy optimization. The explosion in the number of discrete actions can be efficiently addressed by a policy with factorized distribution across action dimensions. We show that the discrete policy achieves significant p...More
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