├── DDPG_My_Prius_Gym.py ├── Fuel_Consumption.py ├── Parameter.py ├── PlotEnv.py ├── Priority_Replay.py ├── Prius_model_new.py ├── README.md ├── Road.py ├── State_Machine.py ├── actor_network_bn.py ├── calculateBestOmega.py ├── critic_network.py ├── ddpg.py ├── environment.py └── replay_buffer.py /DDPG_My_Prius_Gym.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/DDPG_My_Prius_Gym.py -------------------------------------------------------------------------------- /Fuel_Consumption.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/Fuel_Consumption.py -------------------------------------------------------------------------------- /Parameter.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/Parameter.py -------------------------------------------------------------------------------- /PlotEnv.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/PlotEnv.py -------------------------------------------------------------------------------- /Priority_Replay.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/Priority_Replay.py -------------------------------------------------------------------------------- /Prius_model_new.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/Prius_model_new.py -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/README.md -------------------------------------------------------------------------------- /Road.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/Road.py -------------------------------------------------------------------------------- /State_Machine.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/State_Machine.py -------------------------------------------------------------------------------- /actor_network_bn.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/actor_network_bn.py -------------------------------------------------------------------------------- /calculateBestOmega.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/calculateBestOmega.py -------------------------------------------------------------------------------- /critic_network.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/critic_network.py -------------------------------------------------------------------------------- /ddpg.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/ddpg.py -------------------------------------------------------------------------------- /environment.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/environment.py -------------------------------------------------------------------------------- /replay_buffer.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhihanLee/DDPG_Learning/HEAD/replay_buffer.py --------------------------------------------------------------------------------