^BOX类型的状态空间https://github.com/openai/gym/blob/master/gym/spaces/box.py ^gym注册的一些细节https://github.com/openai/gym/issues/626 ^carla教程示例代码https://github.com/carla-simulator/carla/blob/master/PythonAPI/examples/tutorial.py ^carla关于图像转换的方法...
gym-carla An OpenAI gym third party environment for CARLA simulator. System Requirements Ubuntu 16.04 Installation Setup conda environment $ conda create -n env_name python=3.6 $ conda activate env_name Clone this git repo in an appropriate folder $ git clone https://github.com/cjy1992/...
$ git clone https://github.com/cjy1992/gym-carla.git Enter the repo root folder and install the packages: $ pip install -r requirements.txt $ pip install -e . DownloadCARLA_0.9.6, extract it to some folder, and add CARLA toPYTHONPATHenvironment variable: ...
Carla-ppo [Task] lab:随机起始点的绕圈 route:随机起始点与终止点的导航 [Action] self.action_space = gym.spaces.Box(np.array([-1, 0]), np.array([1, 1]), dtype=np.float32)#steer, throttle#Take actionifactionisnotNone: steer, throttle= [float(a)forainaction]#steer, throttle, brake ...
2 changes: 1 addition & 1 deletion 2 gym_carla/envs/carla_env.py Original file line numberDiff line numberDiff line change @@ -406,7 +406,7 @@ def _try_spawn_ego_vehicle_at(self, transform): vehicle = None # Check if ego position overlaps with surrounding vehicles overlap = False...
墨菲安全对开源项目greenday12138/RLAV_in_Carla_gym进行了软件成分分析,发现引入开源组件 11 个,相关许可证 2 类,其中存在漏洞的缺陷组件 0 个。 安全风险信息 目前暂未识别到安全风险,安全风险后续仍需持续关注。 许可证合规风险信息 项目中涉及到的许可证类型:2 种; ...
Byline: By HEATHER GREENAWAYSunday Mail (Glasgow, Scotland)
This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom de...
We provide two gym-like environments for CARLA*: Lap environment: This environment is focused on training an agent to follow a predetermined lap (see CarlaEnv/carla_lap_env.py) Route environment: This environment is focused on training agents that can navigate from point A to point B (see...