Learning General Inventory Management Policy for Large Supply Chain Network

no code implementations • 28 Apr 2022 • Soh Kumabe, Shinya Shiroshita, Takanori Hayashi, Shirou Maruyama

Particularly, large manufacturers produce a very large variety of products that are handled by a significantly large number of retailers.

Management

The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors

no code implementations • 26 Jan 2021 • William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals

Although deep reinforcement learning has led to breakthroughs in many difficult domains, these successes have required an ever-increasing number of samples, affording only a shrinking segment of the AI community access to their development.

Decision Making Efficient Exploration +2

Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation

no code implementations • 24 Nov 2020 • Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon

Automated Vehicles require exhaustive testing in simulation to detect as many safety-critical failures as possible before deployment on public roads.

Autonomous Vehicles counterfactual +1

Behaviorally Diverse Traffic Simulation via Reinforcement Learning

no code implementations • 11 Nov 2020 • Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon

Traffic simulators are important tools in autonomous driving development.

Autonomous Driving reinforcement-learning +1