Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in a simulated ...

To optimize the SEE for secondary vehicle users while satisfying the constraints of primary users (PUs), we utilize deep reinforcement learning (DRL) to address the coupling between different ...

Finance Minister Nicola Willis has put a “true blue” stamp on Budget 2025. She is unapologetically doing what the National-led Government was elected to do – empower businesses and require ...

While deep reinforcement learning (DRL)-based TR approaches have been widely studied recently, most existing works ignored the interaction between scenario and training performance, which will risk ...