Special Issue on Human-aligned Reinforcement Learning for Autonomous Agents and Robots

ISSN: 0941-0643 (Print) 1433-3058 (Online)

In this topical collection (18 articles)

  1. No Access

    S.I. : Human-aligned Reinforcement Learning for Autonomous Agents and Robots

    Comparing explanations in RL

    Britt Davis Pierson, Dustin Arendt, John Miller Pages 505-516
  2. S.I.: Human-aligned Reinforcement Learning for Autonomous Agents and Robots

    Hierarchical goals contextualize local reward decomposition explanations

    Finn Rietz, Sven Magg, Fredrik Heintz, Todor Stoyanov Pages 16693-16704
  3. No Access

    S.I.: Human-aligned Reinforcement Learning for Autonomous Agents and Robots

    A Huber reward function-driven deep reinforcement learning solution for cart-pole balancing problem

    Shaili Mishra, Anuja Arora Pages 16705-16722
  4. S.I.: Human-aligned Reinforcement Learning for Autonomous Agents and Robots

    Incorporating rivalry in reinforcement learning for a competitive game

    Pablo Barros, Özge Nilay Yalçın, Ana Tanevska Pages 16739-16752
  5. S.I.: Human-aligned Reinforcement Learning for Autonomous Agents and Robots

    Policy regularization for legible behavior

    Michele Persiani, Thomas Hellström Pages 16781-16790
  6. No Access

    S.I.: Human-aligned Reinforcement Learning for Autonomous Agents and Robots

    Example-guided learning of stochastic human driving policies using deep reinforcement learning

    Ran Emuna, Rotem Duffney, Avinoam Borowsky Pages 16791-16804
  7. S.I.: Human-aligned Reinforcement Learning for Autonomous Agents and Robots

    Hu-bot: promoting the cooperation between humans and mobile robots

    Karine Miras, Decebal Mocanu, A. E. Eiben Pages 16841-16852
  8. No Access

    S.I.: Human-aligned Reinforcement Learning for Autonomous Agents and Robots

    Q-learning as a model of utilitarianism in a human–machine team

    Samantha Krening Pages 16853-16864
  9. No Access

    S.I.: Human-aligned Reinforcement Learning for Autonomous Agents and Robots

    Who should I trust? Cautiously learning with unreliable experts

    Tamlin Love, Ritesh Ajoodha, Benjamin Rosman Pages 16865-16875