dcss-ai-wrapper
machin
| dcss-ai-wrapper | machin | |
|---|---|---|
| 5 | 2 | |
| 38 | 389 | |
| - | - | |
| 3.7 | 1.8 | |
| 3 months ago | almost 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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dcss-ai-wrapper
- Facebook AI which plays NetHack
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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.
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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!
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Is there a consensus about RL frameworks?
DCSS AI Wrapper GitHub (under heavy development at the moment) https://github.com/dtdannen/dcss-ai-wrapper
machin
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Best PyTorch RL library for doing research
Machin is really nice, it is very easy to use and to try different things, although it’s developed by one person and maybe not appropriately tested yet.
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Is there a consensus about RL frameworks?
I found this repo very helpful to get started: https://github.com/iffiX/machin
What are some alternatives?
qw - The DCSS-playing bot qw
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
sequell - ##crawl bot Sequell; depends on https://github.com/crawl/go-sequell
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Apache Impala - Apache Impala
maze - Maze Applied Reinforcement Learning Framework
nle - The NetHack Learning Environment
tianshou - An elegant PyTorch deep reinforcement learning library.
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥