based genome mining uncovers the hidden diversity of bacterial ...
This work aims at decreasing the end-to-end generation latency of large language models (LLMs). One of the major causes of the high generation latency is ...
Improving the Action Branching Architecture for Multi-dimensional ...For temporal difference (TD) estimates, smaller ? reduces the amount of information that has to flow back. Align-RUDDER dramatically reduces the amount of ... Reinforcement Learning in Persistent Environments: Representation ...The algorithm that played the game, named TD-Gammon [2], involved a fully-connected multilayer perceptron architecture for its neural network ... Pessimistic Ensembles for Offline Deep Reinforcement LearningAbstract: In this paper we propose the use of vision grids as state representation to learn to play the game Tron using neural networks and reinforcement ...
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