E. Uchibe

activity

20172024

most citedUnifying Value Iteration, Advantage Learning, and Dynamic Policy Programming

2 citations · 5 across the 6 of their papers we have counts for

collaborators

Showing 2022Show all

2 papers · 1 filter

cs.LG2022

Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning

Lingwei Zhu, Zheng Chen, Eiji Uchibe +1

Maximum Tsallis entropy (MTE) framework in reinforcement learning has gained popularity recently by virtue of its flexible modeling choices including the widely used Shannon entrop…

cs.LG2022

$q$ -Munchausen Reinforcement Learning

Lingwei Zhu, Zheng Chen, Eiji Uchibe +1

The recently successful Munchausen Reinforcement Learning (M-RL) features implicit Kullback-Leibler (KL) regularization by augmenting the reward function with logarithm of the curr…

Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning

q-Munchausen Reinforcement Learning

$q$ -Munchausen Reinforcement Learning