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Found 3 papers, 1 papers with code
Deep Inventory Management
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, and price matching.
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop
We present the Battlesnake Challenge, a framework for multi-agent reinforcement learning with Human-In-the-Loop Learning (HILL).
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Out-of-the-box channel pruned networks
We then demonstrate that if we found the profiles using a mid-sized dataset such as Cifar10/100, we are able to transfer them to even a large dataset such as Imagenet.
