8 citations · 9 across the 3 of their papers we have counts for
3 papers
Deep Inventory Management
Dhruv Madeka, Kari Torkkola, Carson Eisenach +3
This work provides a Deep Reinforcement Learning approach to solving a periodic review inventory control system with stochastic vendor lead times, lost sales, correlated demand, an…
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop
Jonathan Chung, Anna Luo, Xavier Raffin +1
We present the Battlesnake Challenge, a framework for multi-agent reinforcement learning with Human-In-the-Loop Learning (HILL). It is developed upon Battlesnake, a multiplayer ext…
Out-of-the-box channel pruned networks
Ragav Venkatesan, Gurumurthy Swaminathan, Xiong Zhou +1
In the last decade convolutional neural networks have become gargantuan. Pre-trained models, when used as initializers are able to fine-tune ever larger networks on small datasets.…