Steve at Puzzlewood 2010
Image courtesy of Andrew Perkins

Steven Perkins

My Research

My research has focused on studying the dynamics behind noisy systems and their applications to machine learning, specifically in game theory. I have been extending past results on asynchronous stochastic approximations in order to build a framework to study learning algorithms in stochastic games. The aim is to provide an actor-critic algorithm which converges to a Nash equilibrium for N-player identical interest and 2-player zero-sum, discounted reward stochastic games. I have also been using the abstract stochastic approximation framework to study stochastic fictitious play in games with continuous action sets.

Research Papers

  • Steven Perkins and David S. Leslie, Stochastic Fictitious Play with Continuous Action Sets, (under review) .
  • Steven Perkins and David S. Leslie, Asynchronous Stochastic Approximation with Differential Inclusions, Stochastic Systems , vol. 2, pgs 409-446, 2012. Available here.

Invited Talks

Contributed Talks

Poster Presentations

  • September 2011, Asynchronous Stochastic Approximation for Learning in Stochastic Games, Games Toulouse 2011, Toulouse.

Conferences & Workshops Attended

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Contact Details

Office 3.3, School of Mathematics,
University of Bristol,
University Walk,
Clifton,
Bristol BS8 1TW

Tel: 0117 3318275
Email: Steven.Perkins.09@bristol.ac.uk