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09/13/2023
Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics
Although Deep Reinforcement Learning (DRL) has achieved notable success ...
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08/26/2023
ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning
Motivated by the substantial achievements observed in Large Language Mod...
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07/31/2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation
As a representative cyber-physical system (CPS), robotic manipulator has...
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03/22/2023
Data-Driven Leader-following Consensus for Nonlinear Multi-Agent Systems against Composite Attacks: A Twins Layer Approach
This paper studies the leader-following consensuses of uncertain and non...
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01/30/2022
OpTopNET: A Learning Optimal Topology Synthesizer for Ad-hoc Robot Networks
In this paper, we synthesize a machine-learning stacked ensemble model a...
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05/13/2021
Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving
In this paper, we develop a safe decision-making method for self-driving...
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02/26/2021
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model
Recommendation systems rely heavily on users behavioural and preferentia...
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08/20/2020
Model-free optimal control of discrete-time systems with additive and multiplicative noises
This paper investigates the optimal control problem for a class of discr...
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10/24/2018