Explorations of In-Context Reinforcement Learning
In-Context Learning describes a form of learning that occurs when a model accumulates information in its context or memory. For example, a Long Short-Term Memory unit (LSTM) can rapidly adapt to a novel task as input/target exemplars are fed into it. While in-…
