Developing a Merge Lane Change Decision Policy for Autonomous Vehicles by Deep Reinforcement Learning

Keyphrases

• Autonomous Vehicles 100%
• Deep Reinforcement Learning (deep RL) 100%
• Decision Policy 100%
• Lane Change Decision 100%
• Lane Change 66%
• Highway Traffic 66%
• Emergent Behavior 33%
• Social Benefits 33%
• Management Tools 33%
• Control Policy 33%
• Vehicle Control 33%
• Driving Behavior 33%
• Network Traffic 33%
• Traffic Dynamics 33%
• Reward Function 33%
• Joint Decision 33%
• Density Level 33%
• Traffic Management 33%
• Controlled Traffic 33%
• Vehicular Environment 33%
• Policy Management 33%
• Change Actions 33%
• Autonomous Vehicle Control 33%
• Mixed-autonomy Traffic 33%

Computer Science

• Autonomous Vehicles 100%
• Deep Reinforcement Learning 100%
• Decision Policy 100%
• Vehicle Control 50%
• Network Traffic 25%
• Dynamic Traffic 25%
• Emergent Behavior 25%
• Vehicular Environment 25%
• Management Tool 25%
• Driving Behavior 25%
• Traffic Management 25%
• Policy Management 25%

Engineering

• Reinforcement Learning 100%
• Lane Change 100%
• Social Benefit 33%
• Policy Management 33%
• Control Change 33%
• Joints (Structural Components) 33%
• Traffic Management 33%