Transfer in Reinforcement Learning via Shared Features
We present a framework for transfer in reinforcement learning based on the idea that related tasks share some common features, and that transfer can be achieved via those shared features. The framework attempts to capture the notion of tasks that are related but distinct, and provides some insight i...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Journal of Machine Learning Research
2012
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| Online Access: | http://hdl.handle.net/1721.1/73518 |