nle
RL-Adventure
| nle | RL-Adventure | |
|---|---|---|
| 15 | 3 | |
| 932 | 2,903 | |
| 0.4% | - | |
| 3.7 | 0.0 | |
| 9 days ago | over 2 years ago | |
| C | Jupyter Notebook | |
| GNU General Public License v3.0 or later | - |
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.
nle
- What if we set GPT-4 free in Minecraft?
-
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.
-
Analyzer for Nethack idea - problem with getting data from another program
You should look at The Nethack Learning Environment.
-
[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
-
Hacker News top posts: Nov 12, 2022
The NetHack Learning Environment\ (2 comments)
RL-Adventure
-
Applied resources in Pytorch?
can check this out.
-
Is there a consensus about RL frameworks?
For me, nothing beats RL-Adventure. It's not perfect, it has bugs, but it's super readable and will let you level up through the different main methods.
-
[N] 20 hours of new lectures on Deep Learning and Reinforcement Learning with lots of examples
Lecture 7: Function approximation. (slides, code, video)
What are some alternatives?
wa-tunnel - Tunneling Internet traffic over Whatsapp
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
LeanQt - LeanQt is a stripped-down Qt version easy to build from source and to integrate with an application.
dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.
BotHack - BotHack – A Nethack Bot Framework
RL-Adventure-2 - Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters [Moved to: https://github.com/higgsfield-ai/higgsfield]
flux-beamer - Flux is a modern style beamer presentation.
Voyager - An Open-Ended Embodied Agent with Large Language Models
acme - A library of reinforcement learning components and agents