IEEE

Single-Loop Deep Actor-Critic for Constrained Reinforcement Learning With Provable Convergence

Abstract: Deep actor-critic (DAC) algorithms, which combine actor-critic with deep neural network (DNN), have been among the most prevalent reinforcement learning algorithms for decision-making ...
bera.ac.uk

Rethinking professional learning for TESOL teachers: What a decade of research reveals

In today’s fast-changing world, Teaching English to Speakers of Other Languages (TESOL) teachers face mounting pressures – from new technologies to shifting student needs and rising accountability ...
IEEE

Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-the-Loop

Abstract: Developing powertrain control functions is time-consuming and resource-intensive, often leading to sub-optimal solutions. Reinforcement Learning (RL) allows agents to perform complex control ...