L's repositories
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
citationOverTime
Get the number of citations of a paper over time
highway-env
A minimalist environment for decision-making in autonomous driving
rl-collision-avoidance
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
cadrl_ros
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
deepLearnigInPdcOfAutoDrivingPaperList
Paper list for deep learning in deciding and planning of auto-driving
2019-GraphNeuralNetworksPaperList
Graph Neural Networks Paper List of 2019 Conferences
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
HOOF
Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583