Oral Paper Presentations 2
in
Workshop: AI in Finance: Applications and Infrastructure for Multi-Agent Learning
Abstract
02:20-02:33 Towards Inverse Reinforcement Learning for Limit Order Book Dynamics, Jacobo Roa Vicens (University College London); Cyrine Chtourou (JPMorgan Chase); Angelos Filos (University of Oxford); Francisco Rullan (University College of London); Yarin Gal (University of Oxford); Ricardo Silva (University College London)
02:34-02:47 An Agent-Based Model of Financial Benchmark Manipulation, Megan J Shearer (University of Michigan); Gabriel Rauterberg (University of Michigan); Michael Wellman (University of Michigan)
02:47-03:00 The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad minima?, Panos Parpas (Imperial College London); Nikolas Kantas (Imperial College London); Grigorios Pavliotis (Imperial College London)