DISPERSAL, FISHING, AND THE CONSERVATION OF MARINE ...

This thesis discusses the development and application of deep reinforcement learning (RL) to augment the existing methodologies for fluid dynamics research.







Flow modeling and control through deep reinforcement learning
Off-Beat Multi-Agent Reinforcement Learning. Proceedings of the 22nd. International Conference on Autonomous Agents and Multiagent Systems, May.
Multi-Agent Reinforcement Learning for Complex Sequential ...
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Data-driven prognostics and logistics optimisation
I argue that it requires us to develop a rich stack of precision tools for human-AI co-creation, as we have done and continue to do for recorded media.



Autres Cours:

sigdial 2019 - ACL Anthology