2024
A Meta-Preconditioning Approach for Deep Q-Learning
ICASSP 2024accepted
Deep Q-learning stands as an integral component within modern deep reinforcement learning algorithms. Notwithstanding its recent successes, deep Q-learning can be susceptible to instability and divergence, especially when combined with off-policy learning and bootstrapping, a combination also referr…