dcss-ai-wrapper VS qw

Compare dcss-ai-wrapper vs qw and see what are their differences.

dcss-ai-wrapper

An API for Dungeon Crawl Stone Soup for Artificial Intelligence research. (by dtdannen)

qw

The DCSS-playing bot qw (by elliptic)
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dcss-ai-wrapper qw
5 3
38 41
- -
3.7 0.0
3 months ago about 3 years ago
Python Shell
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dcss-ai-wrapper

Posts with mentions or reviews of dcss-ai-wrapper. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-12.

qw

Posts with mentions or reviews of qw. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-12.

What are some alternatives?

When comparing dcss-ai-wrapper and qw you can also consider the following projects:

qw - The DCSS-playing bot qw

nle - The NetHack Learning Environment

sequell - ##crawl bot Sequell; depends on https://github.com/crawl/go-sequell

machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

maze - Maze Applied Reinforcement Learning Framework

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.