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Found 7 papers, 1 papers with code
Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System
Specifically, the first-order average consensus algorithm is utilized to expand the observations of the DESS state in a fully-decentralized way, and the initial actions (i. e., output power) are decided by the agents (i. e., energy storage units) according to these observations.
AutoPCF: Efficient Product Carbon Footprint Accounting with Large Language Models
The product carbon footprint (PCF) is crucial for decarbonizing the supply chain, as it measures the direct and indirect greenhouse gas emissions caused by all activities during the product's life cycle.
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling
Then, the knowledge graph link prediction task is modelled as an offline reinforcement learning Markov decision model, which is then abstracted into a unified sequence framework.
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
Also, few works have addressed the safe RL algorithm design under time-varying safety constraints.
Q-learning for Optimal Control of Continuous-time Systems
By introducing the Q-function for continuous-time systems, policy iteration based QL (PIQL) and value iteration based QL (VIQL) algorithms are proposed for learning the optimal control policy from real system data rather than using mathematical system model.
Off-policy reinforcement learning for $ H_\infty $ control design
The $H_\infty$ control design problem is considered for nonlinear systems with unknown internal system model.
Data-based approximate policy iteration for nonlinear continuous-time optimal control design
Firstly, a model-free policy iteration algorithm is derived for constrained optimal control problem and its convergence is proved, which can learn the solution of HJB equation and optimal control policy without requiring any knowledge of system mathematical model.
