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Composing Efficient, Robust Tests for Policy Selection
Empirical results demonstrate that RPOSST finds a small set of test cases that identify high quality policies in a toy one-shot game, poker datasets, and a high-fidelity racing simulator.
Event Tables for Efficient Experience Replay
Experience replay (ER) is a crucial component of many deep reinforcement learning (RL) systems.
Batch-iFDD for Representation Expansion in Large MDPs
Matching pursuit (MP) methods are a promising class of feature construction algorithms for value function approximation.
Blending Autonomous Exploration and Apprenticeship Learning
We present theoretical and empirical results for a framework that combines the benefits of apprenticeship and autonomous reinforcement learning.
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