gym-simplegrid
minihack
gym-simplegrid | minihack | |
---|---|---|
2 | 5 | |
34 | 455 | |
- | 3.5% | |
5.3 | 6.7 | |
21 days ago | 23 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
gym-simplegrid
-
SimpleGrid env for OpenAI gym
Check it out at: https://github.com/damat-le/gym-simplegrid
-
Best GridWorld environment?
Thank you everyone! In the end, I created a new simple environment from scratch. If you’re interested you can check it out at https://github.com/damat-le/gym-simplegrid
minihack
- Difficult RL generalization benchmarks
-
Anyone found any working replication repo for MuZero?
I have an implementation of Stochastic MuZero in JAX. It's been tested solely in MiniHack environments, but can be made to work in other environments by changing the representation function.
-
Best GridWorld environment?
If you want something as simple as possible, I'd go with MiniGrid, and if you want to have a richer world with more complex settings, then MiniHack.
-
Facebook AI Introduces ‘MiniHack’: A Sandbox Framework For Designing Rich And Diverse Environments For Reinforcement Learning (RL)
4 Min Read | Github |Paper
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
What are some alternatives?
dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite
mctx - Monte Carlo tree search in JAX
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
santorini-RL - Play the board game Santorini with this Reinforcement Learning agent and custom Gym environment
gym-gridverse - Gridworld domains in the gym interface
Gym-Trading-Env - A simple, easy, customizable Gymnasium environment for trading.
ede - Code for the paper "Uncertainty-Driven Exploration for Generalization in Reinforcement Learning".
gymprecice - A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control.
EfficientZero - Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
pyTORCS-docker - Docker-based, gym-like torcs environment with vision.
EfficientZero - Fork of EfficientZero to use newer libraries and to fix a few runtime bugs. Also includes pretrained models!