Plasticity Loss in Reinforcement Learning Studied in Stochastic Environments
Plasticity-preserving methods enhance robustness in noisy SAC tasks while stochasticity can regularize or accelerate plasticity loss.
Stories per day · 30 days
1 stories, newest first · one card per story