txt_torcs
This repository incorporates serval common issues in the original gym_torcs repository, including:
- Support Text Mode training in practice mode #48;
- Support running multiple gym_torcs experiments on the same machine #27;
- Upgrade torcs to the latest version;
- Display the car in the screen #7;
- Support training different tracks. The supported tracks can be found in TORCS.
Examples of PPO
A simple example of using PPO to train torcs:
python run_torcs.py --road_type g-track-1*road
Examples of gym_torcs
from multigym_torcs import TorcsEnv
# each TorcsEnv object should be associated with a different port in the same machine
# text_model=False will require a window to display
env = TorcsEnv(vision=False, throttle=True, gear_change=False, \
trackname='street-1*road', port=3102, text_mode=True)
env.reset()
env.step(env.action_space.sample())
road_type
or trackname
in TorcsEnv
consists of road_name and category name which are concatenated by *
.
For exmaple:
g-speedway*oval
Road and category names can be found in TORCS.
DISPLAY VISION on the remote server
If you want to run experiments and use vision mode on a remote server, personally I recommend to use VirtualGL
and TurboVNC
.
The setup files can be find here.
Issue
Currently I only test for sensor based training, not on image-based training like original gym_torcs.
Please raise a issue if there is any bug or problem.