19 citations · 29 across the 5 of their papers we have counts for
6 papers
MoE Routing Testbed: Studying Expert Specialization and Routing Behavior at Small Scale
Tobias Falke, Nicolas Anastassacos, Samson Tan +6
Sparse Mixture-of-Experts (MoE) architectures are increasingly popular for frontier large language models (LLM) but they introduce training challenges due to routing complexity. Fu…
The Amazon Nova Family of Models: Technical Report and Model Card
Amazon AGI, Aaron Langford, Aayush Shah +783
We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…
Cooperation and Reputation Dynamics with Reinforcement Learning
Nicolas Anastassacos, Julian García, Stephen Hailes +1
Creating incentives for cooperation is a challenge in natural and artificial systems. One potential answer is reputation, whereby agents trade the immediate cost of cooperation for…
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning
Nicolas Anastassacos, Stephen Hailes, Mirco Musolesi
Social dilemmas have been widely studied to explain how humans are able to cooperate in society. Considerable effort has been invested in designing artificial agents for social dil…
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…
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…