Rostislav Goroshin

Title: Innovations of Rostislav Goroshin

Introduction

Rostislav Goroshin is a notable inventor based in London, GB. He has made significant contributions to the field of reinforcement learning, particularly in the area of environment navigation. With a total of 2 patents, his work is recognized for its innovative approach to training systems that enhance agent navigation through complex environments.

Latest Patents

Goroshin's latest patents focus on methods, systems, and apparatus for training reinforcement learning systems. One of his key inventions involves a method for training an action selection policy neural network. This method includes receiving an observation image that characterizes the current state of the environment. The action selection policy neural network processes this input to generate an action selection output. Additionally, a geometry-prediction neural network is utilized to predict the value of a feature of the environment's geometry. The process involves backpropagating a gradient of a geometry-based auxiliary loss into the action selection policy neural network to refine the network parameters.

Career Highlights

Goroshin is currently employed at DeepMind Technologies Limited, a leading company in artificial intelligence research. His work at DeepMind has positioned him at the forefront of AI innovations, particularly in reinforcement learning applications.

Collaborations

He collaborates with talented individuals such as Fabio Viola and Piotr Wojciech Mirowski, contributing to a dynamic research environment that fosters innovation and creativity.

Conclusion

Rostislav Goroshin's contributions to reinforcement learning and environment navigation exemplify the impact of innovative thinking in technology. His patents and work at DeepMind continue to influence advancements in artificial intelligence.