Shengyi Huang

activity

20192023

most citedA Closer Look at Invalid Action Masking in Policy Gradient Algorithms

400 citations · 506 across the 9 of their papers we have counts for

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cs.LG2019

Comparing Observation and Action Representations for Deep Reinforcement Learning in $μ$ RTS

Shengyi Huang, Santiago Ontañón

This paper presents a preliminary study comparing different observation and action space representations for Deep Reinforcement Learning (DRL) in the context of Real-time Strategy…

Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTS

Comparing Observation and Action Representations for Deep Reinforcement Learning in $μ$ RTS