RLLib includes three reinforcement learning algorithms—Proximal Policy Optimization (PPO), Asynchronous Advantage Actor-Critic (A3C), and Deep Q Networks (DQN)—all of which can be run on any ...

Reinforcement learning is a branch of machine learning concerned with using experience gained through ... Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision ...

To boost the reliability of reinforcement learning models for complex tasks with variability, MIT researchers have introduced a more efficient algorithm for training them.

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output adjustments, according to a study led by University of Michigan researchers, ...

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

New machine learning algorithm promises advances in computing. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 05 / 240509155536.htm. Ohio State University.

New algorithm boosts multitasking in quantum machine learning. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 12 / 241210115620.htm ...

New machine learning algorithm promises advances in computing. Ohio State University. Journal Nature Communications DOI 10.1038/s41467-024-48133-3. Keywords ...