19 citations · 29 across the 5 of their papers we have counts for
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cs.MA2018★ 2 cited
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas
Nicolas Anastassacos, Mirco Musolesi
Multi-agent reinforcement learning has received significant interest in recent years notably due to the advancements made in deep reinforcement learning which have allowed for the…
stat.ML2018★ 19 cited
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning
Tim Pearce, Nicolas Anastassacos, Mohamed Zaki +1
The use of ensembles of neural networks (NNs) for the quantification of predictive uncertainty is widespread. However, the current justification is intuitive rather than analytical…