1 citations · 1 across the 5 of their papers we have counts for
6 papers
MA-JEPA: Joint-Embedding World Models for Multi-Agent Reinforcement Learning
Brandon Gary Kaplowitz, Osaze James Obahor, Christian Schroeder de Witt
World models improve sample efficiency by training policies on imagined trajectories, but their usefulness depends on learning representations that capture the information needed f…
Modelling Opinion Dynamics at Scale with Deep MARL
Lukas Seier, Brandon Kaplowitz, Sebastian Towers +2
Modelling opinion dynamics typically relies on hand-crafted local interaction rules to study emergent macroscopic phenomena such as consensus and polarisation. In contrast, multi-a…
Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
Aaron Rose, Carissa Cullen, Sahar Abdelnabi +3
Non-verbalised or secret collusion may impose a ceiling on transcript-level monitoring in multi-agent deployments. Internal model activations are known to provide an additional mon…
Reinforcement Learning and Consumption-Savings Behavior
Brandon Kaplowitz, Brandon Gary Kaplowitz
This paper demonstrates how reinforcement learning can explain two puzzling empirical patterns in household consumption behavior during economic downturns. I develop a model where…
Bayesian Exploration Networks
Mattie Fellows, Brandon Kaplowitz, Christian Schroeder de Witt +1
Bayesian reinforcement learning (RL) offers a principled and elegant approach for sequential decision making under uncertainty. Most notably, Bayesian agents do not face an explora…
Stochastic PDEs and Quantitative Finance: The Black-Scholes-Merton Model of Options Pricing and Riskless Trading
Brandon Kaplowitz, Siddharth G. Reddy
Differential equations can be used to construct predictive models of a diverse set of real-world phenomena like heat transfer, predator-prey interactions, and missile tracking. In…