Search Results for author: Po-Han Chiang

Found 3 papers, 1 papers with code

Mixture of Step Returns in Bootstrapped DQN

no code implementations16 Jul 2020 Po-Han Chiang, Hsuan-Kung Yang, Zhang-Wei Hong, Chun-Yi Lee

Nevertheless, integrating step returns into a single target sacrifices the diversity of the advantages offered by different step return targets.

Exploration via Flow-Based Intrinsic Rewards

1 code implementation24 May 2019 Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee

Exploration bonuses derived from the novelty of observations in an environment have become a popular approach to motivate exploration for reinforcement learning (RL) agents in the past few years.

Atari Games Optical Flow Estimation +1

Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow

no code implementations24 Jan 2019 Hsuan-Kung Yang, Po-Han Chiang, Kuan-Wei Ho, Min-Fong Hong, Chun-Yi Lee

We propose to employ optical flow estimation errors to examine the novelty of new observations, such that agents are able to memorize and understand the visited states in a more comprehensive fashion.

Optical Flow Estimation

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