NVIDIA Eureka is an AI-driven agent designed to enhance robotic learning by autonomously generating reward algorithms that guide robots in mastering intricate skills. Utilizing OpenAI's GPT-4 large language model, Eureka creates software code that enables robots to learn through trial and error, significantly improving their performance in tasks such as pen spinning, opening drawers, and manipulating objects. This approach surpasses traditional human-authored programs, achieving over 50% performance improvement in more than 80% of evaluated tasks. Integrated with NVIDIA's Isaac Gym, a physics simulation platform, Eureka accelerates the training process by efficiently evaluating numerous reward candidates, facilitating rapid development of advanced robotic capabilities.

NVIDIA Eureka

nvidia-eureka

An AI agent developed by NVIDIA that leverages GPT-4 to autonomously train robots in complex tasks through reinforcement learning.

Yawning Titan is an abstract, graph-based cyber-security simulation environment designed to facilitate the training of intelligent agents for autonomous cyber operations. Developed by the Defence Science and Technology Laboratory (Dstl), it focuses on enabling defensive autonomous agents to counter probabilistic red (attacker) agents within simulated network environments. Built on OpenAI's Gym framework, Yawning Titan supports a wide range of reinforcement learning algorithms and offers flexible environment configurations, making it a valuable tool for research and development in cyber defense strategies.

Yawning Titan

yawning-titan

An open-source, graph-based cyber-security simulation environment for training intelligent agents in autonomous cyber defense operations.

LlamaGym is an open-source Python framework designed to simplify the fine-tuning of large language model (LLM) agents through online reinforcement learning. By providing a standardized environment similar to OpenAI's Gym, LlamaGym allows developers to efficiently train LLM-based agents by managing conversation context, episode batching, reward assignment, and proximal policy optimization (PPO) setup. This framework enables rapid experimentation with agent prompting and hyperparameters across various Gym environments, facilitating the development of more capable and responsive AI agents.

LlamaGym

llamagym

An open-source Python framework for fine-tuning large language model (LLM) agents using online reinforcement learning.

Explore AI Agents Tagged with "reinforcement learning"

NVIDIA Eureka

Yawning Titan

LlamaGym