Giuseppe Paolo

Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning

2017 · arXiv (Cornell University)

In this paper we focus on developing a control algorithm for multi-terrain tracked robots with flippers using a reinforcement learning (RL) approach. The work is based on the deep deterministic policy gradient (DDPG) algorithm, proven …

Guided Safe Shooting: model based reinforcement learning with safety constraints

2022 · arXiv (Cornell University)

In the last decade, reinforcement learning successfully solved complex control tasks and decision-making problems, like the Go board game. Yet, there are few success stories when it comes to deploying those algorithms to real-world scenarios. …