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Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

hardware and software design of the 250mm autonomous drone

An efficient single/multi-agent trajectory planner for multicopters.

[TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning

[INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning

Python implementation of DDQN multi-UAV data harvesting

Parking monitoring system

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A purple theme for Typora