5 citations · 6 across the 10 of their papers we have counts for
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cs.LG2023★ 1 cited
A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
Eduardo Pignatelli, Johan Ferret, Matthieu Geist +4
The Credit Assignment Problem (CAP) refers to the longstanding challenge of Reinforcement Learning (RL) agents to associate actions with their long-term consequences. Solving the C…
cs.RO2023★ 5 cited
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El-Hariry, Antoine Richard, Vivek Muralidharan +2
This investigation introduces a novel deep reinforcement learning-based suite to control floating platforms in both simulated and real-world environments. Floating platforms serve…