IEEE

Multistate Temporal Difference Target for Model-Free Reinforcement Learning

Abstract: Temporal difference (TD) learning is a fundamental technique in reinforcement learning that updates value function estimates for states or state-action pairs using a TD target. This target ...
GitHub

AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping

This repository is the code implementation of the paper AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping. AgriFM is a multi-source temporal remote sensing ...
Reuters

Temporal raises $300 million in Andreessen-led round amid AI agent boom

Feb 17 (Reuters) - Software startup Temporal has raised $300 million in a funding round led by Andreessen Horowitz, valuing the company at $5 billion, as demand rises for infrastructure to support ...
IEEE

Online Transfer-enabled Temporal Difference Learning for Discrete-time Markov Jump Systems

Abstract: This paper investigates the robust control problem of Markov jump linear systems (MJLSs) with unknown transition probabilities (TPs). While existing temporal difference learning (TDL) ...