Playing Atari with Deep Reinforcement Learning
a classic paper applying neural networks to RL for game playing
a classic paper applying neural networks to RL for game playing
a reinforcement learning algorithm for finding optimal policies
A mathematical framework for modelling decision-making under uncertainty
a data structure where each node contains the hash of its child nodes
a sub graph of a connected graph that contains all vertices, but no cycles
a distribution-based sorting algorithm that works by dividing elements into buckets
a parameter that controls how confident Softmax predictions are
Routes LLM tasks to cheaper or more powerful models based on task novelty.
improve zero-shot prompt performance of LLMs by adding “Let’s think step by step” before each answer