maze
nle
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| maze | nle | |
|---|---|---|
| 4 | 15 | |
| 257 | 932 | |
| 1.2% | 1.1% | |
| 0.0 | 3.7 | |
| 22 days ago | 3 days ago | |
| Python | C | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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maze
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[P] Maze: A Framework for Applied Reinforcement Learning
Check out Maze on GitHub - we'd love feedback from anybody with an interest and/or experience in reinforcement learning!
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Maze: A Framework for Applied Reinforcement Learning
Check out Maze on GitHub and its documentation here.
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Is there a consensus about RL frameworks?
For industrial and logistics problems this one looks promising: https://github.com/enlite-ai/maze saw their presentation 2 weeks ago at an international AI conference and was surprised that its already in use and available on github.
- MazeRL - Applied Reinforcement Learning with Python
nle
- What if we set GPT-4 free in Minecraft?
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Voyager: An LLM-powered learning agent in Minecraft
precisely, I really hope someone does Nethack next and leverages the learning environment that's already customized for it.
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Analyzer for Nethack idea - problem with getting data from another program
You should look at The Nethack Learning Environment.
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[D] We're the Meta AI research team behind CICERO, the first AI agent to achieve human-level performance in the game Diplomacy. We’ll be answering your questions on December 8th starting at 10am PT. Ask us anything!
There's quite a few open-source Reinforcement Learning challenges that you can explore with modest amounts of compute in order to build some experience training RL models, for example the Nethack Learning Environment, Atari, Minigrid, etc. For me personally, I had only worked in NLP / dialogue for years but got into RL by implementing Random Network Distillation models for NetHack. It's a fun area that definitely has its own unique challenges vs other domains. -AM
- Facebook AI which plays NetHack
- The NetHack Learning Environment
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Hacker News top posts: Nov 12, 2022
The NetHack Learning Environment\ (2 comments)
What are some alternatives?
dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.
wa-tunnel - Tunneling Internet traffic over Whatsapp
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
LeanQt - LeanQt is a stripped-down Qt version easy to build from source and to integrate with an application.
dm_env - A Python interface for reinforcement learning environments
BotHack - BotHack – A Nethack Bot Framework
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL