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01/21/2022
Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxation
Deep reinforcement learning (DRL) has attracted much attention as an app...
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08/03/2021
Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications
We present a novel deep reinforcement learning (DRL)-based design of a n...
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04/17/2021
Modeling and control of decision-making of miners in blockchain
To maintain blockchain-based services with ensuring its security, it is ...
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01/13/2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems
Applications of reinforcement learning (RL) to stabilization problems of...
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10/11/2020
Game-theoric approach to decision-making problem for blockchain mining
It is an important decision-making problem for a miner in the blockchain...
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01/14/2020
Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Generalized Büchi Automata
This letter proposes a novel reinforcement learning method for the synth...
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01/14/2020
Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Büchi Automata
This letter proposes a novel reinforcement learning method for the synth...
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08/28/2019
Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning
In this paper, we propose a design of a model-free networked controller ...
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07/16/2019