Policy Shaping: Integrating Human Feedback with Reinforcement Learning Shane Griffith, Kaushik Subramanian, Jonathan Scholz, Charles L. Isbell, and Andrea Thomaz College of Computing Georgia Institute of Technology, Atla

Source URL: www.prism.gatech.edu

RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research Alborz Geramifard*, Christoph Dann, Robert H. Klein, William Dabney*, Jonathan P. How Abstract RLPy (rlpy.readthedocs.org)

Source URL: fam-dann.de

330 IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, VOL. 4, NO. 4, DECEMBER 2012 Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments

Source URL: www-clmc.usc.edu

He He, Jordan Boyd-Graber, and Hal Daum´e III. Opponent Modeling in Deep Reinforcement Learning. International Conference on Machine Learning, 2016, 10 pages. @inproceedings{He:Boyd-Graber:Daume-III-2016, Author = {He

Source URL: www.cs.colorado.edu

Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang Tushar Khot

Source URL: ai2-website.s3.amazonaws.com

• Markov models
• Relational model
• Machine learning
• Probability distribution
• Bayesian network
• Reinforcement learning
• Relational data mining
• Loss function

2010 IEEE International Conference on Robotics and Automation Anchorage Convention District May 3-8, 2010, Anchorage, Alaska, USA Robot Reinforcement Learning using EEG-based reward signals I. Iturrate,

Source URL: webdiis.unizar.es

Model-Based Reinforcement Learning for Playing Atari Games Justin Fu Irving Hsu

Source URL: cs231n.stanford.edu

arXiv:1602.01783v1 [cs.LG] 4 FebAsynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih1 Adri` a Puigdom`

Source URL: arxiv.org

Learning to Predict Trajectories of Cooperatively Navigating Agents Henrik Kretzschmar Markus Kuderer Abstract— The problem of modeling the navigation behavior

Source URL: europa2.informatik.uni-freiburg.de

• Statistics
• Probability
• Statistical theory
• Markov models
• Bayesian statistics
• Information theory
• Probability distribution
• Principle of maximum entropy
• Reinforcement learning
• Entropy
• Markov chain
• Mode

Microsoft Word - Applying GA for Reward Allotment in an Event-driven Hybrid Learning Classifier System for Soccer Video Games

Source URL: www.csse.uwa.edu.au

• Applied mathematics
• Cybernetics
• Artificial intelligence
• Machine learning
• Evolutionary algorithms
• Mathematical optimization
• Search algorithms
• Learning classifier system
• Genetic algorithm
• Q-learning
• Reinforcement learning
• Statistical classification