Cogment

Cogment is an open-source AI platform that empowers human-AI collaboration. It streamlines the process of building, training, and deploying AI agents in both simulated and real-world environments, fostering a continuous learning loop for both humans and AI.

Highlights

• Continuous Human-AI Learning: Cogment facilitates collaborative training, requiring less data and enabling real-time adaptation.
• Orchestration of Intelligence Ecosystems: It combines the strengths of human and AI, facilitating human supervision where needed.
• Safe and Simple Deployment: Cogment offers a seamless design for training in simulations and progressive deployment to real-world environments.

Key Features

• Multi-Actor Capability: Allows multiple agents and human users to interact in collaborative or competitive settings.
• Diverse Training Methods: Supports reinforcement learning, imitation learning, and curriculum learning.
• Tech Stack Agnostic: Works seamlessly with various frameworks like PyTorch, Keras, and TensorFlow, and environments like Unity, OpenAI Gym, and Petting Zoo.
• Multi-Experience Learning: Runs multiple instances of the same agent in distributed trials for enhanced learning.
• Implementation Swapping: Enables seamless transitions between different agent implementations, including human users, trained agents, and rule-based agents.
• Hybrid AI Approach: Integrates various types of agents, such as expert systems, neural networks, and planners.
• Optimized Development and Deployment: Minimizes discontinuity between development and deployment, facilitating quick iteration cycles.