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

📏 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

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

企事业单位知识竞赛答题小程序，在信息技术迅猛发展的时代，企业和事业单位在提升员工素质和知识水平方面面临着新的挑战。为了增强员工的学习积极性、提高团队凝聚力和整体素质，越来越多的单位开始组织知识竞赛活动。传统的知识竞赛往往依赖于线下纸质问卷，不仅耗时耗力，还难以及时统计结果。因此知识竞赛答题小程序，能够通过数字化手段提升竞赛的效率和互动性，其主要功能如下： 分类题库：按照领域（例如生产安全、法律常识、交通安全，环保知识，卫生常识，学习强国等）和知识点进行分类，方便用户选择。 随机抽题：用户可以选择特定领域，系统随机生成题目。

Accelerated minigrid environments with JAX

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

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

An environement builder for hierarchical reasoning research

Solving games with reinforcement learning

Learning Visual Embeddings for Reinforcement Learning

Repo for a course tought to middle and high school students participating in RWC Columbia Aug 2024.

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

Minigrid with the addition of monsters that patrol and chase the agent. Also adds functions for easily re-skinning the game with the goal of making minigrid a more interesting teaching environment for kids.

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.