2024
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
CVPR 2024poster
In order for reinforcement learning (RL) agents to be deployed in real-world environments they must be able to generalize to unseen environments. However RL struggles with out-of-distribution generalization often due to over-fitting the particulars of the training environment. Although regularizatio…