Explore >> Select a destination
|
You are here 
|
www.exxactcorp.com | ||
| | | | |
www.mlpowered.com
|
|
| | | | | Blog posts and other information | |
| | | | |
iclr-blog-track.github.io
|
|
| | | | | [AI summary] The provided text is an extensive blog post discussing the implementation and reproduction of the Proximal Policy Optimization (PPO) algorithm in various environments, including Atari, Procgen, and others. It highlights key implementation details, such as MultiDiscrete action spaces, vectorized environments, and accelerated training techniques like Envpool. The post also compares PPO with other algorithms like IMPALA and APPO, and emphasizes the importance of documentation and efficient code for reproducibility and research. | |
| | | | |
www.v7labs.com
|
|
| | | | | Deep reinforcement learning (DRL) combines reinforcement learning with deep learning. This guide covers the basics of DRL and how to use it. | |
| | | | |
dennybritz.com
|
|
| | | All the code is also available as an Jupyter notebook on Github. | ||
