NIPS Proceedingsβ

Geoffrey J. Gordon

17 Papers

  • Efficient Computation of Moments in Sum-Product Networks (2017)
  • Predictive State Recurrent Neural Networks (2017)
  • A Unified Approach for Learning the Parameters of Sum-Product Networks (2016)
  • Supervised Learning for Dynamical System Learning (2015)
  • Predictive State Temporal Difference Learning (2010)
  • A Constraint Generation Approach to Learning Stable Linear Dynamical Systems (2007)
  • Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games (2006)
  • No-regret Algorithms for Online Convex Programs (2006)
  • Planning for Markov Decision Processes with Sparse Stochasticity (2004)
  • Applying Metric-Trees to Belief-Point POMDPs (2003)
  • ARA*: Anytime A* with Provable Bounds on Sub-Optimality (2003)
  • Auction Mechanism Design for Multi-Robot Coordination (2003)
  • Model Uncertainty in Classical Conditioning (2003)
  • Exponential Family PCA for Belief Compression in POMDPs (2002)
  • Generalized² Linear² Models (2002)
  • Reinforcement Learning with Function Approximation Converges to a Region (2000)
  • Stable Fitted Reinforcement Learning (1995)