Tommaso Mannucci

The Actor-Judge Method : Safe state exploration for Hierarchical Reinforcement Learning Controllers

E. van Kampen, Stephen Verbist, Tommaso Mannucci, 2018 .

Reinforcement learning based algorithm with Safety Handling and Risk Perception

Tommaso Mannucci, Erik-Jan van Kampen, Suhas Shyamsundar, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Self-tuning gains of a quadrotor using a simple model for policy gradient reinforcement learning

Erik-Jan Van Kampen, Ye Zhou, Tommaso Mannucci, 2016 .

Safe and Autonomous UAV Navigation using Graph Policies

Erik-Jan Van Kampen, Tommaso Mannucci, Coen C. de Visser, 2017 .

Graph based dynamic policy for UAV navigation

Erik-Jan Van Kampen, Tommaso Mannucci, Coen C. de Visser, 2016 .

A novel approach with safety metrics for real-time exploration of uncertain environments

Erik-Jan Van Kampen, Tommaso Mannucci, Coen C. de Visser, 2016 .

Hierarchically Structured Controllers for Safe UAV Reinforcement Learning Applications

Erik-Jan Van Kampen, Tommaso Mannucci, Coen C. de Visser, 2017 .

A hierarchical maze navigation algorithm with Reinforcement Learning and mapping

Tommaso Mannucci, Erik-Jan van Kampen, E. Kampen, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Safe Exploration Algorithms for Reinforcement Learning Controllers

Tommaso Mannucci, Qiping Chu, Erik-Jan van Kampen, 2018, IEEE Transactions on Neural Networks and Learning Systems.

SHERPA: a safe exploration algorithm for Reinforcement Learning controllers

Erik-Jan Van Kampen, Tommaso Mannucci, Coen C. de Visser, 2015 .