IA Embarquée
Notre expérience historique en apprentissage par renforcement nous a naturellement conduits à développer une expertise en IA embarquée, notamment avec des partenaires reconnus comme Akkodis, pour des systèmes autonomes tels que les drones. Ces technologies permettent aux machines de percevoir leur environnement, de prendre des décisions en temps réel et d’adapter leur comportement de manière autonome. Chez Delfox, nous concevons des solutions embarquées légères, performantes et robustes, capables de fonctionner dans des environnements complexes où la fiabilité et la réactivité sont essentielles.
DRL AGENTS : ARTIFICIAL INTELLIGENCE FOR YOUR INNOVATION
At DELFOX, we're driving AI forward by harnessing the potential of DRL (Deep Reinforcement Learning) Agents. Discover how these deep reinforcement learning systems can catalyze your innovation projects.
WHAT IS A DRL AGENT?
DRL Agents embody a new era of autonomous, adaptive learning. A DRL Agent is software capable of learning and making decisions autonomously by interacting with a complex environment, it could represent a drone, a fighter jet or a car, depending of the use case. Basically, it combines the power of Deep Learning with the principles of Reinforcement Learning, enabling it to optimize its actions by maximizing the rewards it receives.
HOW DOES A DRL AGENT WORK?
A DRL Agent works by following an iterative decision-making process. It observes the state of its environment, selects an action, receives a reward or punishment for that action, and adjusts its strategies to maximize future rewards. This continuous feedback loop enables the agent to adapt to changes and learn autonomously.
HOW IS A DRL AGENT TRAINED?
Training a DRL Agent is a crucial step. It begins with the creation of a simulated environment in which the agent can evolve. Our teams of experts, in close collaboration with your teams, define the training parameters and objectives. The agent learns by interacting with this simulated environment, receiving positive or negative rewards depending on its actions. It continually adjusts its strategies to maximize gains, thus perfecting its behavior.
THE ADVANTAGES OF THE trained DRL AGENT:
- Adaptability: They excel in dynamic, changing environments, adapting autonomously.
- Performance: DRL Agents have demonstrated their ability to excel in a variety of fields, from robotics to finance.
- Uncertainty Management: They excel in decision-making under uncertainty, providing a competitive edge.
- Action hierarchy: DRL Agents can learn hierarchies of actions to solve complex problems.
- Versatile applications: DRL Agents can be used in a wide range of industries, including aerospace and defense.
HOW TO EXPORT THE DRL AGENT?
The final export of your DRL Agent is the key phase. DELFOX supports you in this transition by ensuring that your agent can make autonomous decisions safely in the real world. Our expertise guarantees integration via a software brick adapted to your application or in universal format (ONNX), unleashing the potential of artificial intelligence to drive your innovation.