Cancel
About Donal Byrne
Donal Byrne is a Senior Research Engineer known for co-authoring the paper 'Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX', presented at ICLR 2024.
Known information
Donal Byrne holds the position of Senior Research Engineer and has made significant contributions to the field of reinforcement learning. He co-authored an influential paper titled ‘Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX’, which was presented at the International Conference on Learning Representations (ICLR) in 2024. The paper is recognized for its exploration of scalable reinforcement learning environments, utilizing the JAX framework to enhance the efficiency and diversity of learning algorithms.
About InstaDeep
InstaDeep develops AI-powered decision-making systems for diverse industries, leveraging advanced technologies like GPU-accelerated computing and deep learning, and has a global presence with offices in major cities worldwide.
Report inaccurate information
