arui-234's Stars
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
afatcoder/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
Kaixhin/Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
google-research/batch_rl
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
kaixindelele/DRLib
DRLib:a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.
keiohta/tf2rl
TensorFlow2 Reinforcement Learning
AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
cts198859/deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
wingsweihua/colight
CoLight: Learning Network-level Cooperation for Traffic Signal Control
xiaochus/Deep-Reinforcement-Learning-Practice
Practice of Deep Reinforcement Learning with Keras and gym.
maxbrenner-ai/Multi-Agent-Distributed-PPO-Traffc-light-control
multi agent RL for traffic light control in Sumo using distributed PPO
quantumiracle/Reinforcement_Learning_for_Traffic_Light_Control
Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.
samuelyu2002/ImVisible
ImVisible: Pedestrian Traffic Light (PTL) Dataset, Lightweight CNN (LytNet), and Mobile Application for the Visually Impaired (CAIP '19, ICCV Workshops '19)
wingsweihua/presslight
YZNYEE/TrafficLights_control_pytorch_rl
deep reinforcement learing SUMO
cbfinn/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
raymelon/TrafficLightNeuralNetwork
:traffic_light: An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.
Skylark0924/Gamma_Reward
qcri/gym-gharrafa
OpenAI Gym environment used in the KDD2019 Paper "Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios"
MorrisQiu/RLTrafficSignalControl
Project Reinforcement Learning (RL) for Traffic Light Control (TLC)
priyanksonis/SUMO
simulation for two 4-arm intersections