Religo
Religo is a platform designed to provide a modern and immersive experience for individuals seeking
Freemium
Are you looking to revolutionize your call center operations? Imagine a world where AI seamlessly collaborates with human agents, maximizing efficiency and productivity. Introducing Cogment, an innovative open-source AI platform developed by AI Redefined.
With Cogment, you can build, train, and operate AI agents in both simulated and real environments, enabling continuous training of humans and AI together. Its multi-actor capability allows multiple agents and human users to interact collaboratively or competitively, fostering a dynamic and engaging environment.
Whether you prefer reinforcement learning, imitation learning, or curriculum learning, Cogment supports various training methods. It seamlessly integrates with popular frameworks like PyTorch, Keras, and TensorFlow, as well as environments such as Unity, OpenAI Gym, and Petting Zoo.
Experience the power of multi-experience learning with Cogment, running multiple instances of the same agent in distributed trials. Seamlessly transition between different agent implementations, including human users, trained agents, and rule-based agents. Utilize multiple sources of rewards for reinforcement learning, including the environment, users, and other agents.
Cogment offers a hybrid AI approach, allowing the integration of expert systems, neural networks, planners, and more. It optimizes the development and deployment process, minimizing discontinuity between simulated and real environments.
Explore the extensive documentation and community support available on the Cogment website. Join the AI Redefined community and unlock the potential of AI in maximizing call center efficiency.
Cogment is an innovative open-source AI platform developed by AI Redefined. The platform is designed to facilitate human-AI collaboration and leverage the power of AI for the benefit of humankind. Cogment enables the building, training, and operation of AI agents in both simulated and real environments, fostering continuous training of humans and AI together.
Key features of Cogment include multi-actor capability, allowing multiple agents and human users to interact with each other and their environment in collaborative or competitive setups. The platform supports various training methods, including reinforcement learning, imitation learning, and curriculum learning.
Cogment is tech stack agnostic, meaning that it can work seamlessly with different frameworks such as PyTorch, Keras, and TensorFlow, as well as environments like Unity, OpenAI Gym, and Petting Zoo.
The platform also supports multi-experience learning, running multiple instances of the same agent in distributed trials/experiences. It enables implementation swapping, allowing seamless transitions between different agent implementations, including human users, trained agents, and pseudo-humans or rule-based agents. Multiple sources of rewards, including environment, users, and other agents, can be utilized for reinforcement learning.
Cogment offers a hybrid AI approach, enabling the integration of different types of agents, such as expert systems, neural networks, planners, and more. It optimizes the development and deployment process by minimizing discontinuity between the two stages, facilitating quick iteration cycles between simulated and real environments.
Documentation and community support are available through the Cogment website, including an overview, core concepts, development guides, and references for CLI and SDK usage. The platform is backed by AI Redefined, a reputable AI company.
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