Pinned Repositories
ABR-ML
Machine learning based adaptive bit-rate streaming Algorithm
AitransSolution
Solution demo for Aitrans players
iroko
A platform to test reinforcement learning policies in the datacenter setting.
Live-Video-Streaming-Challenge
ACM MULTIMEDIA 2019 Grand Challenge
mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
mvfst-rl
An asynchronous RL platform for congestion control in QUIC transport protocol. https://arxiv.org/abs/1910.04054.
pantheon
Pantheon of Congestion Control
pcc
performance oriented congestion control
PCC-RL
Reinforcement learning resources for PCC.
Pensieve-PPO
The simplest implementation of Pensieve (SIGCOMM 17') via state-of-the-art RL algorithms, including PPO, DQN, and SAC
yyaya's Repositories
yyaya/mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
yyaya/Pensieve-PPO
The simplest implementation of Pensieve (SIGCOMM 17') via state-of-the-art RL algorithms, including PPO, DQN, and SAC
yyaya/ABR-ML
Machine learning based adaptive bit-rate streaming Algorithm
yyaya/AitransSolution
Solution demo for Aitrans players
yyaya/iroko
A platform to test reinforcement learning policies in the datacenter setting.
yyaya/Live-Video-Streaming-Challenge
ACM MULTIMEDIA 2019 Grand Challenge
yyaya/mvfst-rl
An asynchronous RL platform for congestion control in QUIC transport protocol. https://arxiv.org/abs/1910.04054.
yyaya/pantheon
Pantheon of Congestion Control
yyaya/pcc
performance oriented congestion control
yyaya/PCC-RL
Reinforcement learning resources for PCC.
yyaya/pensieve
Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)
yyaya/puffer
Puffer is a free live TV streaming website and a research study at Stanford using machine learning to improve video streaming
yyaya/razor
A google's congestion Control Algorithm
yyaya/srt-bonding
Secure, Reliable, Transport
yyaya/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等