drl
Project description
drl: Deep Reinforcement Learning
This package contains the implementations of the following DRL algorithms:
- DQN
DQNAgent - PPO
PPOAgent - SAC
SACAgent
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
drl-0.0.1.tar.gz
(5.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
drl-0.0.1-py3-none-any.whl
(8.1 kB
view details)
File details
Details for the file drl-0.0.1.tar.gz.
File metadata
- Download URL: drl-0.0.1.tar.gz
- Upload date:
- Size: 5.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e4201086ea5112ec3907a97792388c606dc39c850904bc12c2e3975d4f7b6204
|
|
| MD5 |
efdfbbae0fd81fbb3b7e2a60d5502a16
|
|
| BLAKE2b-256 |
3c7ecaa50359bb2b77d06fa28dab10d1b2f9b3cc0a18bf49233b4be9272450e6
|
File details
Details for the file drl-0.0.1-py3-none-any.whl.
File metadata
- Download URL: drl-0.0.1-py3-none-any.whl
- Upload date:
- Size: 8.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cb8b0f97359db387b9876b0ded4b8959c7181c236aad95c76ab6703ae6bde33a
|
|
| MD5 |
4b7559857e2a9d6b21329b154251c164
|
|
| BLAKE2b-256 |
4fdc6d6e95232547809b6d9932cabecb806ba204a1491d7009e1bccf58f08f33
|