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- 1Dyna
- 1Reinforcement learning
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- 1model-based reinforcement learning
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- 1second-order optimization
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Fall 2021
A common scientific challenge for putting a reinforcement learning agent into practice is how to improve sample efficiency as much as possible with limited computational or memory resources. Such available physical resources may vary in different applications. My thesis introduces some approaches...
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