Pinned Repositories
3d-manuver-decision-in-air-combat-situations
3d manuver decision in air combat situations
air-combat-Reinforcement-Learning
利用值函数逼近网络设计无人机空战自主决策系统，目前是初步的程序编写，之后会不断更新和详解。
air_combat
A series of air combat game environments packaged according to the gym interface for reinforcement learning.
AirCombateRL
alpha_dogfight
CloseAirCombat
An environment based on JSBSIM aimed at one-to-one close air combat.
Deep-Reinforcement-Learning-Algorithms-with-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
dogfightRL
gym-dogfight3d
lxb678's Repositories
lxb678/tianshou
An elegant PyTorch deep reinforcement learning library.
lxb678/CloseAirCombat
An environment based on JSBSIM aimed at one-to-one close air combat.
lxb678/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
lxb678/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
lxb678/Deep-Reinforcement-Learning-Algorithms-with-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
lxb678/SAC-Discrete-Pytorch
A clean and robust Pytorch implementation of SAC on discrete action space
lxb678/ModSimPy
Text and supporting code for Modeling and Simulation in Python
lxb678/RL-based-UAV-Dogfight-Simulator
This project includes DRL methods to train a UAV.
lxb678/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
lxb678/air_combat
A series of air combat game environments packaged according to the gym interface for reinforcement learning.
lxb678/gym-dogfight3d
lxb678/machine-learning-bvr-air-combat
Python code for the paper Machine Learning to Improve Situational Awareness in Beyond Visual Range Air Combat.
lxb678/sac-discrete.pytorch
PyTorch implementation of SAC-Discrete.
lxb678/3d-manuver-decision-in-air-combat-situations
3d manuver decision in air combat situations
lxb678/dogfightRL
lxb678/PyTorch-Radial-Basis-Function-Layer
An implementation of an RBF layer/module using PyTorch.
lxb678/RL_air-combat
基于强化学习的空战对抗
lxb678/alpha_dogfight
lxb678/AirCombateRL
lxb678/air-combat-Reinforcement-Learning
利用值函数逼近网络设计无人机空战自主决策系统，目前是初步的程序编写，之后会不断更新和详解。