Reinforcement Learning and Artificial Intelligence (RLAI)
	Reinforcement Learning and Artificial Intelligence

The ambition of this page is to provide top-level links into research, worldwide, at the intersection of reinforcement learning and artificial intelligence. You are encouraged to add links to your own relevant research.

• Subscribe to the Reinforcement Learning Mailing List (RL-List)
  
• Email:

• Check out RL-community.org
• Research
  
  • RLAI Hypotheses
  • Myths of RL
  • Successes of RL
  • Algorithms of RL
  • Demos of RL
  • RL FAQ
    
  • Papers on options
  • Rich's slogans
    
  • AI is Solved
• Software Tools
  • RL-Glue - a standard for connecting RL agents and environments
  • RL-Library - a repository of standard RL software, based on RL-Glue
    
  • RL Toolkit - the tools below plus RL demos (python)
  • Tiles - tile coding or CMACs for function approximation
    
  • G - 2D graphics routines useable across platforms and languages
  • Quickgraph - for making quick 2D and 3D graphs
    
  • Using Python
  • Mixing Python and C
    
  • The Reinforcement Learning Repository at the University of Massachusetts
  • Reinforcement Learning Toolbox
  • SALSA
  • PIQLE : a set of Java classes for generic RL (in English and French) : with tile coding and multi-agents learning
  • Reinforcement Learning in Matlab and Python: a simple environment to program RL experiments in Matlab or Python
  • Connectionist Q-learning Java Framework
• RLAI People and Research Groups on the Web (this list is from 2005)
  
  • U Alberta RLAI
  • Rutgers Laboratory for Real-Life Reinforcement Learning
  • UMass Autonomous Learning Laboratory
  • University of Michigan Reinforcement Learning Group
  • McGill Reasoning and Learning Laboratory (also Shie Mannor)
  • Asada Lab at Osaka University
    
  • Andrew Ng at Stanford University
  • Remi Munos of Ecole Polytechnique
    
  • Ron Parr at Duke University
    
  • Reinforcement Learning and Control at Colorado State University
  • Marco Wiering at Utrecht University
  • Bernhard Hengst at NICTA University of New South Wales
    
  • Juergen Schmidhuber at IDSIA
  • Tom Dietterich at Oregon State University
    
  • Auton Project at CMU
    
  • Peter Dayan, Nathaniel Daw, Yael Niv at Gatsby CNU
  • Hajime Kimura at Kobayashi Lab (in Japanese)
  • University of Texas: Neural Networks and RL, Peter Stone
    
  • Katsunari Shibata at Oita University
  • Reinforcement Learning at the University of Innsbruck
  • U Alberta IRCL
  • GARE at University Lille 3 and University du Littoral (in French)
  • Jim Kehoe at the University of New South Wales
    
• Workshops and Conferences
• The second Multidisciplinary Conference on Reinforcement Learning and Decision Making will be held in June 2015, in Edmonton, Alberta, Canada
• 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning
  
• The Reinforcement Learning Call-for-Papers List
  
• Should artificially intelligent robots have the same rights as people?
• Inactive pages: Content, RLGO, dimensions, RLinterface 5/6/7, UofA software, programming style, RLBB, Rich's Principles, Rich's Topics, Employment opportunities, paper bank,,