57 citations · 75 across the 3 of their papers we have counts for
3 papers
Evaluating Agents using Social Choice Theory
Marc Lanctot, Kate Larson, Yoram Bachrach +6
We argue that many general evaluation problems can be viewed through the lens of voting theory. Each task is interpreted as a separate voter, which requires only ordinal rankings o…
Reward-Respecting Subtasks for Model-Based Reinforcement Learning
Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland +4
To achieve the ambitious goals of artificial intelligence, reinforcement learning must include planning with a model of the world that is abstract in state and time. Deep learning…
Temporal-Difference Networks
Richard S. Sutton, Brian Tanner
We introduce a generalization of temporal-difference (TD) learning to networks of interrelated predictions. Rather than relating a single prediction to itself at a later time, as i…