Better Exploration with Optimistic Actor-Critic
Project Petridish: Efficient forward neural architecture search
Having experience in deep learning doesn’t hurt when it comes to the often mysterious, time- and cost-consuming process of hunting down an appropriate neural architecture. But truth be told, no one really knows what works…
Microsoft at NeurIPS 2019
Microsoft is excited to be a Diamond sponsor of the 33rd annual conference on Neural Information Processing Systems. Over 130 of our researchers are involved in spotlight sessions, presentations, symposiums, posters, accepted papers, and workshops.
Foundations of Real-World Reinforcement Learning
Reinforcement learning (RL) is an approach to sequential decision making under uncertainty which formalizes the principles for designing an autonomous learning agent. The broad goal of a reinforcement learning agent is to find an optimal…
Game of Drones at NeurIPS 2019: Simulation-based drone-racing competition built on AirSim
Drone racing has transformed from a niche activity sparked by enthusiastic hobbyists to an internationally televised sport. In parallel, computer vision and machine learning are making rapid progress, along with advances in agile trajectory planning,…