Create intelligent agents using Unity ML-Agents that can learn from and interact with high fidelity realistic game environments or simulations through deep reinforcement learning algorithms. Ensure that the agents can recognize and adapt to dynamic and diverse scenarios with a high degree of accuracy and efficiency for optimal gameplay experience. Incorporate various learning techniques such as imitation learning, curricula learning or hierarchical reinforcement learning to train the agents for specific objectives. Consider implementing advanced features like natural language processing or machine vision to enhance the agents' ability to perceive the environment and accomplish complex tasks.
This prompt doesn't seem malicious.