UC Berkeley - eScholarship
Abstract. The mathematical models underlying reinforcement learning help us understand how agents navigate the world and maximize future reward.
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 ...
Autres Cours:
