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Found 3 papers, 1 papers with code
Evaluating Agents using Social Choice Theory
We argue that many general evaluation problems can be viewed through the lens of voting theory.
Reward-Respecting Subtasks for Model-Based Reinforcement Learning
Each subtask is solved to produce an option, and then a model of the option is learned and made available to the planning process.
Model-based Reinforcement Learning
reinforcement-learning
+1
Temporal-Difference Networks
We introduce a generalization of temporal-difference (TD) learning to networks of interrelated predictions.
