Understanding Bonus-Based Exploration in Reinforcement Learning
Intrinsic reward-based exploration methods have successfully solved challenging sparse reward tasks such as Montezuma’s Revenge. However, these methods have not been widely adopted in reinforcement learning due to inconsistent performance gains across tasks. To better understand the underlying cause...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/140193 |