41 citations · 64 across the 6 of their papers we have counts for
3 papers · 1 filter
Maintaining Plasticity in Deep Continual Learning
Shibhansh Dohare, J. Fernando Hernandez-Garcia, Parash Rahman +2
Modern deep-learning systems are specialized to problem settings in which training occurs once and then never again, as opposed to continual-learning settings in which training occ…
Learning Sparse Representations Incrementally in Deep Reinforcement Learning
J. Fernando Hernandez-Garcia, Richard S. Sutton
Sparse representations have been shown to be useful in deep reinforcement learning for mitigating catastrophic interference and improving the performance of agents in terms of cumu…
Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target
J. Fernando Hernandez-Garcia, Richard S. Sutton
Multi-step methods such as Retrace() and -step -learning have become a crucial component of modern deep reinforcement learning agents. These methods are often evaluated as…