{
  "$type": "site.standard.document",
  "description": "A deep reinforcement learning-based vehicle action decision apparatus for merging strategy of an autonomous vehicle in an on-ramp merging zone is disclosed. The deep reinforcement learning-based vehicle action decision apparatus comprises an information observation unit for collecting observation…",
  "path": "/patents/1376592",
  "publishedAt": "2025-08-21T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W30/18163",
    "FOUNDATION OF SOONGSIL UNIVERSITY-INDUSTRY COOPERATION"
  ],
  "textContent": "A deep reinforcement learning-based vehicle action decision apparatus for merging strategy of an autonomous vehicle in an on-ramp merging zone is disclosed. The deep reinforcement learning-based vehicle action decision apparatus comprises an information observation unit for collecting observation information from a sensing module or roadside unit (RSU) of an autonomous vehicle; a policy execution unit for deciding on a current action, including acceleration control and lane change of the autonomous vehicle, based on the current observation information and policy; and a reward determination unit for determining a reward according to the current observation information, the current action, and the next observation information according to the current action, wherein reward in the reward determination unit is determined through a reward term related to speed, lane change, safety distance compliance, and an accident of the autonomous vehicle and a merge reward term related to merge of an autonomous vehicle in the on-ramp merging zone.",
  "title": "METHOD AND APPARATUS FOR DETERMINING BEHAVIOR BASED ON DEEP REINFORCEMENT LEARNING FOR AUTONOMOUS VEHICLE MERGING STRATEGY"
}