Popular GitHub Repositories for Minigrid

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid ?️

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model

Solving games with reinforcement learning

Learning Visual Embeddings for Reinforcement Learning

A PyTorch implementation of DIAYN for unsupervised skill discovery in MiniGrid environments. Trains agents to learn diverse behaviors without reward engineering. Features modular architecture and visualization tools.

Deep RL agents for the MiniGrid 6 Rooms. Implements DQN, Double DQN, Huber Loss, Soft Updates, PER, and Actor-Critic. Best model solves 90% of episodes with improved training stability.

Project for the course Deep Learning and Applied AI a.y. 2021/2022, Dept. of Computer Science, Prof. Emanuele Rodolà

Personal project developing Reinforcement Learning agents in the Minigrid environment