Learning to Plan via Deep Optimistic Value Exploration
Deep exploration requires coordinated long-term planning. We present a model-based reinforcement learning algorithm that guides policy learning through a value function that exhibits optimism in the face of uncertainty. We capture uncertainty over values by combining predictions from an ensemble o...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
2020
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| Online Access: | https://hdl.handle.net/1721.1/125161 |