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• Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
  2025
• Exploring applications of deep reinforcement learning for real-world autonomous driving systems
  2019
• Vulnerable road user detection: state-of-the-art and open challenges
  2019
• Deep Reinforcement Learning for Autonomous Driving: A Survey
  2020
• Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
  2020
• A Practical Guide to Multi-Objective Reinforcement Learning and Planning
  2021
• Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach
  2023
• Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning
  2024