Faculty of Science

Reinforcement Learning and Artificial Intelligence

Faculty of Science

  • Home
  • Research
    • Regularization in Reinforcement Learning
    • Nexting on a Reinforcement-Learning Robot
    • The Horde Architecture for Learning Knowledge Grounded in Sensorimotor Experience
    • Gradient Temporal-Difference Learning
    • Hybrid Gradient Temporal-Difference Learning
    • General Atari 2600 Game Playing
    • Creating Excitement at Glenrose
    • Reinforcement Learning for Adaptive Prosthetics
    • Representation Change for Learning
    • Transfer learning on the Critterbot
    • The Critterbot and Zephyr
    • Parameter-free Step-size Adaptation
    • Monte-Carlo Simulation Balancing (Computer Go)
    • Reinforcement Learning in the Brain
  • Resources
    • RL FAQ
    • RLAI Library (Internal)
    • Software
    • Travel, Expenses, Reference Letters
    • Annual Reports
  • Sponsors
  • Positions
  • Home
  • Research
    • Regularization in Reinforcement Learning
    • Nexting on a Reinforcement-Learning Robot
    • The Horde Architecture for Learning Knowledge Grounded in Sensorimotor Experience
    • Gradient Temporal-Difference Learning
    • Hybrid Gradient Temporal-Difference Learning
    • General Atari 2600 Game Playing
    • Creating Excitement at Glenrose
    • Reinforcement Learning for Adaptive Prosthetics
    • Representation Change for Learning
    • Transfer learning on the Critterbot
    • The Critterbot and Zephyr
    • Parameter-free Step-size Adaptation
    • Monte-Carlo Simulation Balancing (Computer Go)
    • Reinforcement Learning in the Brain
  • Resources
    • RL FAQ
    • RLAI Library (Internal)
    • Software
    • Travel, Expenses, Reference Letters
    • Annual Reports
  • Sponsors
  • Positions

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