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09/06/2023
Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector
Reinforcement learning (RL) with linear temporal logic (LTL) objectives ...
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09/01/2023
Deep Segmented DMP Networks for Learning Discontinuous Motions
Discontinuous motion which is a motion composed of multiple continuous m...
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08/04/2023
Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning
Object shaping by grinding is a crucial industrial process in which a ro...
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03/22/2023
Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon Tasks
Partial Automation (PA) with intelligent support systems has been introd...
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01/27/2023
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence
Many policy optimization approaches in reinforcement learning incorporat...
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12/06/2022
Learning Locally, Communicating Globally: Reinforcement Learning of Multi-robot Task Allocation for Cooperative Transport
We consider task allocation for multi-object transport using a multi-rob...
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12/05/2022
Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport
In this paper, we present a solution to a design problem of control stra...
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11/07/2022
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot Manipulation
Humans demonstrate a variety of interesting behavioral characteristics w...
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10/14/2022
Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics
Soft robots are challenging to model and control as inherent non-lineari...
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09/21/2022
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation
Generative Adversarial Imitation Learning (GAIL) can learn policies with...
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07/29/2022
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization
Deep reinforcement learning with domain randomization learns a control p...
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07/05/2022
Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation
Many works have recently explored Sim-to-real transferable visual model ...
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05/16/2022
q-Munchausen Reinforcement Learning
The recently successful Munchausen Reinforcement Learning (M-RL) feature...
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05/16/2022
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning
Maximum Tsallis entropy (MTE) framework in reinforcement learning has ga...
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05/09/2022
Disturbance-Injected Robust Imitation Learning with Task Achievement
Robust imitation learning using disturbance injections overcomes issues ...
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05/07/2022
Gaussian Process Self-triggered Policy Search in Weakly Observable Environments
The environments of such large industrial machines as waste cranes in wa...
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09/10/2021
Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA
This paper explores a Deep Reinforcement Learning (DRL) approach for des...
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07/16/2021
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning
The recent booming of entropy-regularized literature reveals that Kullba...
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07/13/2021
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning
In this paper, we propose cautious policy programming (CPP), a novel val...
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07/12/2021
Cautious Actor-Critic
The oscillating performance of off-policy learning and persisting errors...
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06/14/2021
Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions
Policy search reinforcement learning has been drawing much attention as ...
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04/21/2021
Robust shape estimation with false-positive contact detection
We propose a means of omni-directional contact detection using accelerom...
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04/20/2021
Tactile Perception based on Injected Vibration in Soft Sensor
Tactile perception using vibration sensation helps robots recognize thei...
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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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03/29/2021
Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport
In this paper, we explore a multi-agent reinforcement learning approach ...
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03/25/2021
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies
Scenarios requiring humans to choose from multiple seemingly optimal act...
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10/16/2020
Uncertainty-aware Contact-safe Model-based Reinforcement Learning
This paper presents contact-safe Model-based Reinforcement Learning (MBR...
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08/25/2020
Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning
This paper aims to establish an entropy-regularized value-based reinforc...
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03/02/2020
