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08/24/2023
Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward
Robot control using reinforcement learning has become popular, but its l...
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03/08/2023
Soft Actor-Critic Algorithm with Truly Inequality Constraint
Soft actor-critic (SAC) in reinforcement learning is expected to be one ...
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12/21/2022
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search
This paper introduces a novel method of adding intrinsic bonuses to task...
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12/08/2022
Real-time Sampling-based Model Predictive Control based on Reverse Kullback-Leibler Divergence and Its Adaptive Acceleration
Sampling-based model predictive control (MPC) can be applied to versatil...
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08/08/2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
Extraction of low-dimensional latent space from high-dimensional observa...
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03/18/2022
Proximal Policy Optimization with Adaptive Threshold for Symmetric Relative Density Ratio
Deep reinforcement learning (DRL) is one of the promising approaches for...
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02/25/2022
Consolidated Adaptive T-soft Update for Deep Reinforcement Learning
Demand for deep reinforcement learning (DRL) is gradually increased to e...
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02/15/2022
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning
This paper proposes a new regularization technique for reinforcement lea...
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01/18/2022
AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards Noise-Robust Stochastic Gradient Optimizer
As the problems to be optimized with deep learning become more practical...
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11/29/2021
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning
Autonomous driving has made great progress and been introduced in practi...
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09/03/2021
Impact of GPU uncertainty on the training of predictive deep neural networks
[retracted] We found out that the difference was dependent on the Chaine...
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08/02/2021
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning
Behavioral cloning (BC) bears a high potential for safe and direct trans...
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06/16/2021
Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics
This paper presents a new data-driven framework for analyzing periodic p...
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06/03/2021
Hyperbolically-Discounted Reinforcement Learning on Reward-Punishment Framework
This paper proposes a new reinforcement learning with hyperbolic discoun...
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05/27/2021
Optimistic Reinforcement Learning by Forward Kullback-Leibler Divergence Optimization
This paper addresses a new interpretation of reinforcement learning (RL)...
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04/01/2021
Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures
Model-free or learning-based control, in particular, reinforcement learn...
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04/01/2021
Sample-efficient Gear-ratio Optimization for Biomechanical Energy Harvester
The biomechanical energy harvester is expected to harvest the electric e...
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01/19/2021
Mirror-Descent Inverse Kinematics for Box-constrained Joint Space
This paper proposes a new Jacobian-based inverse kinematics (IK) explici...
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10/07/2020
Proximal Policy Optimization with Relative Pearson Divergence
Deep reinforcement learning (DRL) is one of the promising approaches for...
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08/25/2020
t-Soft Update of Target Network for Deep Reinforcement Learning
This paper proposes a new robust update rule of the target network for d...
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08/23/2020
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning
Deep reinforcement learning (DRL) is one of the promising approaches to ...
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07/31/2020
Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems
This paper proposes a new optimizer for deep learning, named d-AmsGrad. ...
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03/04/2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
This paper proposes a novel variational autoencoder (VAE) derived from T...
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02/29/2020