Reinforcement learning (RL) is a powerful type of artificial intelligence technology that can be used to learn strategies to optimally control large, complex systems such as manufacturing plants ...

Nonlinear optimal control problems are often solved with numerical methods that require knowledge of system's dynamics which may be difficult to infer, and that carry a large computational cost ...

Reinforcement Learning. ... During training, the control software performed the maneuver over and over, ... and it can figure out the optimal configuration for the equipment in a data center. ...

Reinforcement learning was part of the algorithms that were integral to achieving breakthrough results with chess, protein folding and Atari games. Likewise, OpenAI trained deep reinforcement ...

Game theory, decision-making for large-scale multi-agent systems, optimal decision-making for multiple robot teams, deep reinforcement learning, autonomous driving, large-scale complex systems, ...

First, authors provide the mathematical model describing a multi-impulse linear rendezvous problem and the RL algorithms used, and present the RL-based approach to rendezvous design. For the multi ...