Cogment, an innovative open-source AI platform developed by AI Redefined, serves as a catalyst for human-AI collaboration, harnessing AI’s potential for the greater good.
Designed to facilitate seamless collaboration between humans and AI agents, Cogment empowers users to build, train, and deploy AI agents across simulated and real-world environments. Key features include multi-actor capability, enabling multiple agents and human users to interact collaboratively or competitively within their environment.
Cogment supports various training methods, including reinforcement learning, imitation learning, and curriculum learning. It’s tech stack agnostic, compatible with popular frameworks like PyTorch, Keras, and TensorFlow, as well as environments such as Unity, OpenAI Gym, and Petting Zoo.
The platform embraces multi-experience learning, allowing multiple instances of the same agent to run in distributed trials/experiences. It facilitates smooth transitions between different agent implementations, including human users, trained agents, and rule-based agents.
Cogment offers a hybrid AI approach, integrating different agent types like expert systems, neural networks, and planners. It streamlines the development and deployment process, enabling quick iteration cycles between simulated and real environments.
Extensive documentation and community support are available via the Cogment website, covering core concepts, development guides, and references for CLI and SDK usage. Supported by AI Redefined, a renowned AI company, Cogment stands as a reliable and robust AI platform for collaborative endeavors.
