Toward Real-Time Decentralized Reinforcement Learning using Finite Support Basis Functions

no code implementations • 20 Jun 2017 • Kenzo Lobos-Tsunekawa, David L. Leottau, Javier Ruiz-del-Solar

This paper addresses the design and implementation of complex Reinforcement Learning (RL) behaviors where multi-dimensional action spaces are involved, as well as the need to execute the behaviors in real-time using robotic platforms with limited computational resources and training times.

reinforcement-learning Reinforcement Learning (RL)