OpenDILab Decision AI Engine

📏 Minimal 2kb zero dependency cascading grid layout

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

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

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

读书会，书友会小程序：书籍是人类进步的阶梯，在信息高度发达而浮躁的当下，静下心来读书成为都市人群的新趋势， 很多读书社团应运而生，那么通过小程序，把读书会搬到手机上，通过小程序了解最热门的书单和作家，可以每天组织阅读打卡和评比；书友会时常组织书友进行书友会线下活动，那么通过小程序可以方便的搞定报名、签到、活动信息收集，活动结束后还可以进行评价

This is Electra blockchain's repository for a decentralized micro-grid electricity exchange solution

Accelerated minigrid environments with JAX

An environement builder for hierarchical reasoning research

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

Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment 🔑

A very simple flex based grid system.

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

Minigrids Management Tool for Decentralized Utilities.

This application is used to register customers and meters to MPManager

This notebook trains an agent to navigate a maze and reach a desired destination. It uses the Gym-MiniGrid's fourRoom-v0 environment as the maze. The agent is trained by using reiforcement learning's vanilla policy gradient (REINFORCE) algorithm.