OFFER: Off-environment reinforcement learning
Policy gradient methods have been widely applied in reinforcement learning. For reasons of safety and cost, learning is often conducted using a simulator. However, learning in simulation does not traditionally utilise the opportunity to improve learning by adjusting certain environment variables - s...
| Auteurs principaux: | , |
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| Format: | Conference item |
| Langue: | English |
| Publié: |
AAAI Press
2017
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