Hado Phillip Van Hasselt

Title: Hado Phillip Van Hasselt: Innovator in Reinforcement Learning

Introduction

Hado Phillip Van Hasselt is a prominent inventor based in London, GB. He has made significant contributions to the field of artificial intelligence, particularly in reinforcement learning. His innovative work has led to the development of advanced neural network systems that enhance the capabilities of agents interacting with their environments.

Latest Patents

Hado Phillip Van Hasselt holds a patent titled "Training action selection neural networks using a differentiable credit function." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for reinforcement learning. The invention focuses on a reinforcement learning neural network that selects actions for an agent based on input observations characterizing the state of the environment. The system also includes a reward function network that determines target values for training the neural network, thereby improving its performance in achieving specified results.

Career Highlights

Hado Phillip Van Hasselt is associated with DeepMind Technologies Limited, a leading company in artificial intelligence research. His work at DeepMind has positioned him as a key figure in the development of cutting-edge technologies that leverage machine learning for various applications.

Collaborations

Hado has collaborated with notable colleagues, including Zhongwen Xu and Joseph Varughese Modayil. These collaborations have further enriched his research and contributed to advancements in the field of reinforcement learning.

Conclusion

Hado Phillip Van Hasselt's contributions to reinforcement learning and neural networks exemplify the innovative spirit of modern inventors. His work continues to influence the development of intelligent systems that can adapt and learn from their environments.