Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents

Keyphrases

• Generalization Ability 100%
• Time Series Model 100%
• Traffic Simulation 100%
• Reinforcement Learning Agent 100%
• Traffic Environment 100%
• Stochastic Traffic 100%
• Autonomous Driving Agent 100%
• Reinforcement Learning Algorithm 66%
• Lane Change 66%
• Realistic Scenario 33%
• Real-time Traffic 33%
• Simple Rules 33%
• Autonomous Driving System 33%
• Policy Change 33%
• Traffic Scenarios 33%
• Network Applications 33%
• Trajectory Data 33%
• Traffic Uncertainty 33%
• Rule-driven 33%
• Traffic Interaction 33%
• Life Trajectories 33%

Computer Science

• Autonomous Driving 100%
• Reinforcement Learning 100%
• Traffic Environment 100%
• Learning Agent 60%
• Trajectory Data 20%