Models and examples built with TensorFlow

A toolkit for developing and comparing reinforcement learning algorithms.

An educational resource to help anyone learn deep reinforcement learning.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

MOT using deepsort and yolov3 with pytorch

A starter agent that can solve a number of universe environments.

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Yolov5+SlowFast: Realtime Action Detection Based on PytorchVideo

Official github page of UCF SST CitySim Dataset

Code for hierarchical imitation learning and reinforcement learning

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.

An official code release of our CVPR'23 paper, BEVHeight

An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161

Multi-agent Combat Arena (UAV swarm vs UAV swarm)

Stable Baselines官方文档中文版

Mission Planning & Task Allocation - Team A for UAV Swarm Project for BAE Systems UAV Swarm Challenge

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential …

AVDC 2021 - GNC of a SWARM of UAVs in a numerical simulation by Alex Martinez and Tom Antoine

Applying minimaxQ learning algorithm to 2 agents games

Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.

This repository contains Python scripts for multiple pursuer one evader differential pursuit evasion game.

Examples of finite-horizon zero-sum differential games implemented as environments for reinforcement learning algorithms

This repostory contains that is a simulation of strategic interactions among different level-k cognitive hierarchy agents

NeuReach: Learning Reachability Functions from Simulations