41 citations · 64 across the 6 of their papers we have counts for
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cs.LG2019★ 8 cited
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…
cs.LG2019★ 41 cited
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…