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• Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning
  2018 · 141 citations
• Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving
  2020 · 122 citations
• Behavior Planning of Autonomous Cars with Social Perception
  2019 · 43 citations
• A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning
  2021 · 41 citations
• Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
  2018 · 34 citations
• Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference
  2020 · 8 citations
• Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory
  2020 · 2 citations
• A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning
  2021 · 1 citations