Taisuke Kobayashi

収録論文 24本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Redesigning Regularization for Effective Policy Smoothing
  2026/6/1
• Flexible Empowerment at Reasoning with Extended Best-of-N Sampling
  2026/4/17
• Skin-Machine Interface with Multimodal Contact Motion Classifier
  2025/7/1
• Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks
  2025/6/1
• CubeDAgger: Interactive Imitation Learning for Dynamic Systems with Efficient yet Low-risk Interaction
  2025/5/1
• Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
  2024/12/1
• Weber-Fechner Law in Temporal Difference learning derived from Control as Inference
  2024/12/1
• Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning
  2024/10/1
• LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
  2024/9/1
• Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward
  2023/8/1
• Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint
  2023/3/1
• Real-time Sampling-based Model Predictive Control based on Reverse Kullback-Leibler Divergence and Its Adaptive Acceleration
  2022/12/1
• Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
  2022/8/1
• Consolidated Adaptive T-soft Update for Deep Reinforcement Learning
  2022/2/1
• L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning
  2022/2/1
• Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning
  2021/11/1
• Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics
  2021/6/1
• Sample-efficient Gear-ratio Optimization for Biomechanical Energy Harvester
  2021/4/1
• Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures
  2021/4/1
• Mirror-Descent Inverse Kinematics for Box-constrained Joint Space
  2021/1/1
• Proximal Policy Optimization with Relative Pearson Divergence
  2020/10/1
• Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning
  2020/8/1
• Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems
  2020/7/1
• q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
  2020/3/1