Taisuke Kobayashi
4 papers in the PaperMetrix corpus
Papers by this author
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Variational Autoencoder with Tsallis Statistics for Disentangled Representation Learning
2020 · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
This paper proposes a novel variational autoencoder derived from Tsallis statistics, named q-VAE. Starting from the viewpoint of Tsallis statistics, a new lower bound of the q-VAE is derived to maximize likelihood of the data …
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Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search
2022 · arXiv (Cornell University)
This paper introduces a novel method of adding intrinsic bonuses to task-oriented reward function in order to efficiently facilitate reinforcement learning search. While various bonuses have been designed to date, they are analogous to the …
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Reward bonuses with gain scheduling inspired by iterative deepening search
2023 · Results in Control and Optimization
This paper introduces a novel method of adding intrinsic bonuses to task-oriented reward function in order to efficiently facilitate reinforcement learning search. While various bonuses have been designed to date, this paper points out that …
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Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness
2023
Domain randomization (DR) is a powerful framework that has allowed the transfer of policies from randomized domain (a.k.a. simulation) to real robots with little to no retraining requirement. However, because the policy has to perform …