rainbow-with-ray

rainbow-with-ray

fangyuedong

A PyTorch implementation of reinforcement lerning algorithms (DQN, DDQN, Prior DDQN, Distributed) based on ray

benchmark
View on GitHub
6 Stars
0 Forks
6 Watchers
Python Language
Cost to Build
$1.97M
Market Value
$1.17M
How is this calculated?

Growth over time

2 data points  ·  2021-11-21 → 2022-02-20
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about rainbow-with-ray

Question copied to clipboard

What is the fangyuedong/rainbow-with-ray GitHub project? Description: "A PyTorch implementation of reinforcement lerning algorithms (DQN, DDQN, Prior DDQN, Distributed) based on ray". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone rainbow-with-ray

Clone via HTTPS

git clone https://github.com/fangyuedong/rainbow-with-ray.git

Clone via SSH

[email protected]:fangyuedong/rainbow-with-ray.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the rainbow-with-ray issue tracker:

Open GitHub Issues

Similar to rainbow-with-ray

netdata fashion-mnist FrameworkBenchmarks BenchmarkDotNet jmeter awesome-semantic-segmentation sysbench hyperfine tsung benchmark_results across web-frameworks php-framework-benchmark jsperf.com go-web-framework-benchmark huststore phoronix-test-suite Attabench ann-benchmarks sbt-jmh caffenet-benchmark chillout IocPerformance prophiler TBCF NBench sympact awesome-http-benchmark BlurTestAndroid pytest-benchmark