July 2018
Intermediate to advanced
254 pages
8h 12m
English
Content preview from Hands-On Intelligent Agents with OpenAI Gym
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Customizing the CARLA simulation using the CarlaSettings object
When we start a new episode, we want to be able to configure the start state (where the agent or vehicle starts), the goal state (the agent or vehicle's intended destination), the complexity of the episode (measured by the number of vehicles or pedestrians in the episode), the type and sources of observations (the sensors configured on the vehicle), and so on.
The CARLA project manages the interface between the UE4 environment and the external configuration and control using a server-client architecture, for which there are two servers.
For the CARLA environment, we can configure the environment's start state, goal state, complexity level, and the sensor sources using the CarlaSettings ...
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