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Matthew E. Taylor

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Papers (19)

  1. AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot cs.AI · 2026 · author #12
  2. On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman cs.LG · 2019 · author #4
  3. Action Guidance with MCTS for Deep Reinforcement Learning cs.LG · 2019 · author #3
  4. Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning cs.LG · 2019 · author #3
  5. Agent Modeling as Auxiliary Task for Deep Reinforcement Learning cs.MA · 2019 · author #3
  6. Interactive Learning of Environment Dynamics for Sequential Tasks cs.AI · 2019 · author #3
  7. Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition cs.MA · 2019 · author #4
  8. Safer Deep RL with Shallow MCTS: A Case Study in Pommerman cs.LG · 2019 · author #4
  9. Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning cs.LG · 2019 · author #3
  10. Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL cs.LG · 2018 · author #3
  11. Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach cs.AI · 2018 · author #3
  12. Leveraging human knowledge in tabular reinforcement learning: A study of human subjects cs.AI · 2018 · author #3
  13. Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human/Agent's Demonstration cs.AI · 2018 · author #2
  14. Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control cs.LG · 2018 · author #3
  15. Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning cs.AI · 2017 · author #2
  16. Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning cs.LG · 2017 · author #3
  17. Learning to Teach Reinforcement Learning Agents cs.AI · 2017 · author #2
  18. Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer cs.LG · 2016 · author #3
  19. Online Transfer Learning in Reinforcement Learning Domains cs.AI · 2015 · author #2

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