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Found 4 papers, 2 papers with code
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
We consider the problem of multi-agent navigation and collision avoidance when observations are limited to the local neighborhood of each agent.
NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming
We compare NICE with (1) a baseline integer programming formulation that produces a feasible crew schedule, and (2) a robust integer programming formulation that explicitly tries to minimize the impact of disruptions.
Reinforcement Learning for Improving Object Detection
The performance of a trained object detection neural network depends a lot on the image quality.
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
We propose a Deep Reinforcement Learning (Deep RL) algorithm for solving the online 3D bin packing problem for an arbitrary number of bins and any bin size.
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