2025
Towards Provable Emergence of In-Context Reinforcement Learning
NeurIPS 2025poster
Typically, a modern reinforcement learning (RL) agent solves a task by updating its neural network parameters to adapt its policy to the task. Recently, it has been observed that some RL agents can solve a wide range of new out-of-distribution tasks without parameter updates after pretraining on som…