2024
Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning
ICML 2024poster
A key challenge in Meta-Reinforcement Learning (meta-RL) is the task distribution shift, since the generalization ability of most current meta-RL methods is limited to tasks sampled from the training distribution. In this paper, we propose Posterior Sampling Bayesian Lifelong In-Context Reinforcemen…