NIPS Proceedingsβ

Ronald Parr

9 Papers

  • Linear Complementarity for Regularized Policy Evaluation and Improvement (2010)
  • Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps (2005)
  • Learning in Zero-Sum Team Markov Games Using Factored Value Functions (2002)
  • Model-Free Least-Squares Policy Iteration (2001)
  • Multiagent Planning with Factored MDPs (2001)
  • Policy Search via Density Estimation (1999)
  • Reinforcement Learning Using Approximate Belief States (1999)
  • Generalized Prioritized Sweeping (1997)
  • Reinforcement Learning with Hierarchies of Machines (1997)