In this article, the authors discuss the use of the MolDQN algorithm for conducting reinforcement learning simulations in drug discovery. They also present the…
Browsing: Reinforcement Learning
Researchers at ETH Zurich’s Robotic Systems Lab have developed a new robot design that combines the capabilities of wheeled and legged robots, allowing for…
A team of researchers trained a neural network using reinforcement learning to play the popular roguelike game NetHack. However, the model suddenly performed worse…
Large Language Models (LLMs) have advanced with the use of Reinforcement Learning from Human Feedback (RLHF) to optimize a reward function based on human…
Researchers are exploring the use of reinforcement learning in humanoid robots to perform tasks in the physical world, such as playing soccer and navigating…
This article provides a brief overview of twelve different learning techniques used in artificial intelligence, including reinforcement learning and federated learning. These methods allow…
Hugging Face introduces LeRobot, a machine learning platform designed for practical robotics use. LeRobot offers pretrained models, datasets, and instruments for reinforcement learning and…
Reinforcement learning (RL) is a specialized area of machine learning that trains agents to make decisions by interacting with their environment. Researchers have introduced…
Researchers have developed an algorithmic framework that uses Reinforcement Learning to optimize Vector Language Models (VLMs) for tasks requiring end-to-end language and visual processing.…
Deep Robotics has unveiled its series of AI-enabled robots at the 2024 IEEE ICRA in Yokohama, Japan, showcasing their enhanced dexterity, autonomy, and self-balancing…