Adaptive Agent System

In brief

Adaptive Agent System is a Directrix Technologies project for University of East London, UK: Reinforcement Learning for Strategic Decisions. Summary: A reinforcement learning agent that learns strategic decisions from feedback. Outcome: Built an agent that adapts its decisions from environment feedback toward a defined objective.

Overview

The Adaptive Agent System applies reinforcement learning to strategic decision-making.

An intelligent agent learns to select actions based on feedback from its environment and improves its behavior toward a defined objective.

What we built

• A reinforcement learning agent for strategic decision-making.

How we built it

We built the system around reinforcement learning: the agent interacts with an environment and uses feedback to improve its action-selection strategy.

Services this project shows

• Predictive analytics and applied ML

Project outcome

Built an agent that adapts its decisions from environment feedback toward a defined objective.