Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC

反馈跟踪控制器，控制算法工具包，ADRC自抗扰控制，PID控制，抗积分饱和PID控制，增量式PID控制，模糊FuzzyPID控制，LQR线性二次型调节器控制，启发算法控制，强化学习控制，无人机轨迹跟踪控制

A Torch Based RL Framework for Rapid Prototyping of Research Papers

DRL-Base-EMS for HEVs

Project of Reinforcement Learning course

A codebase for continuous action spaces Reinforcement Learning algorithms

The pytorch implementation of sac

tabular and deep rl algorithms