Announcement_19

Presented our work, “Balancing Plasticity and Stability with Fast and Slow Successor Features,” at International Conference on Machine Learning (ICML) in Seoul, South Korea! The work studies how learning across multiple timescales using a neuro-inspired synaptic consolidation mechanism can help RL agents retain useful predictive representations while adapting to continuously changing environments.