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Home / Proceedings / Proceedings of the Twentieth International Conference on Machine Learning / Book One

The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping

March 15, 2023

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Authors

Adam Laud and Gerald DeJong

DOI:


Abstract:

Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a formal structure with which to interpret the improvement afforded by shaping rewards. Central to our model is the idea of a reward horizon, which focuses exploration on an MDP’s critical region, a subset of states with the property that any policy that performs well on the critical region also performs well on the MDP. We provide a simple algorithm and prove that its learning time is polynomial in the size of the critical region and, crucially, independent of the size of the MDP. This identifies low reward horizons with easy-to-learn MDPs. Shaping rewards, which encode our prior knowledge about the relative merits of decisions, can be seen as artificially reducing the MDP’s natural reward horizon. We demonstrate empirically the effects of using shaping to reduce the reward horizon.

Topics: ICML

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HOW TO CITE:

Adam Laud and Gerald DeJong The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping Proceedings of the Twentieth International Conference on Machine Learning (2003) .

Adam Laud and Gerald DeJong The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping ICML 2003, .

Adam Laud and Gerald DeJong (2003). The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. Proceedings of the Twentieth International Conference on Machine Learning, .

Adam Laud and Gerald DeJong. The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. Proceedings of the Twentieth International Conference on Machine Learning 2003 p..

Adam Laud and Gerald DeJong. 2003. The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. "Proceedings of the Twentieth International Conference on Machine Learning". .

Adam Laud and Gerald DeJong. (2003) "The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping", Proceedings of the Twentieth International Conference on Machine Learning, p.

Adam Laud and Gerald DeJong, "The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping", ICML, p., 2003.

Adam Laud and Gerald DeJong. "The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping". Proceedings of the Twentieth International Conference on Machine Learning, 2003, p..

Adam Laud and Gerald DeJong. "The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping". Proceedings of the Twentieth International Conference on Machine Learning, (2003): .

Adam Laud and Gerald DeJong. The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. ICML[Internet]. 2003[cited 2023]; .


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