qw
The DCSS-playing bot qw (by elliptic)
dcss-ai-wrapper
An API for Dungeon Crawl Stone Soup for Artificial Intelligence research. (by dtdannen)
| qw | dcss-ai-wrapper | |
|---|---|---|
| 3 | 5 | |
| 41 | 38 | |
| - | - | |
| 0.0 | 3.7 | |
| about 3 years ago | 3 months ago | |
| Shell | Python | |
| - | 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.
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.
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.
- Facebook AI which plays NetHack
-
What are the advantages of a turn-based roguelike vs a realtime action roguelike-like?
You can get bots to play some roguelikes for you. See, for instance, this one for Dungeon Crawl Stone Soup: https://github.com/elliptic/qw
-
Streaming while coding the DCSS AI API
This is a really cool project! In your paper, you mentioned the qw bot which has a 15% win rate (or did - looks like it hasn't been updated in 4 years, so idk if it would even work on recent versions) using hand-coded lua rules in a rc file. I know your focus with the wrapper is more on dynamic approaches like reinforcement learning, but I'm curious: if someone did want to make another qw-like agent with totally hand-coded heuristics, do you think your wrapper would be easier to work with than the clua interface?
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.
- Facebook AI which plays NetHack
-
Publically Exposed/Accessible Crawl Data
Another very interesting project is the dcss-ai-wrapper. Which allows you to interface crawl from a program. You can use it to do reinforcement learning or write rule based bots.
-
DCSS Python Bot (proof of concept)
Is your work related to https://github.com/dtdannen/dcss-ai-wrapper? There is a bit of academic work as well:
- Need help with what to focus my RL thesis on!
-
Is there a consensus about RL frameworks?
DCSS AI Wrapper GitHub (under heavy development at the moment) https://github.com/dtdannen/dcss-ai-wrapper
What are some alternatives?
When comparing qw and dcss-ai-wrapper you can also consider the following projects:
nle - The NetHack Learning Environment
qw - The DCSS-playing bot qw
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.