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20182026
most citedNever Forget: Balancing Exploration and Exploitation via Learning Optical Flow

9 citations · 29 across the 15 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 5 cited

Flow-based Intrinsic Curiosity Module

Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong +1

In this paper, we focus on a prediction-based novelty estimation strategy upon the deep reinforcement learning (DRL) framework, and present a flow-based intrinsic curiosity module…

cs.LG2019★ 9 cited

Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow

Hsuan-Kung Yang, Po-Han Chiang, Kuan-Wei Ho +2

Exploration bonus derived from the novelty of the states in an environment has become a popular approach to motivate exploration for deep reinforcement learning agents in the past…