An Introduction to Reinforcement Learning

[1]  Eduardo F. Morales,et al.  Dynamic Reward Shaping: Training a Robot by Voice , 2010, IBERAMIA.

[2]  Pieter Abbeel,et al.  Autonomous Helicopter Aerobatics through Apprenticeship Learning , 2010, Int. J. Robotics Res..

[3]  Thomas G. Dietterich,et al.  Reinforcement Learning Via Practice and Critique Advice , 2010, AAAI.

[4]  Eduardo F. Morales,et al.  Relational Reinforcement Learning with Continuous Actions by Combining Behavioural Cloning and Locally Weighted Regression , 2010, J. Intell. Learn. Syst. Appl..

[5]  Peter Stone,et al.  Combining manual feedback with subsequent MDP reward signals for reinforcement learning , 2010, AAMAS.

[6]  Pieter Abbeel,et al.  Parameterized maneuver learning for autonomous helicopter flight , 2010, 2010 IEEE International Conference on Robotics and Automation.

[7]  Stefan Schaal,et al.  A Generalized Path Integral Control Approach to Reinforcement Learning , 2010, J. Mach. Learn. Res..

[8]  Daniel Kudenko,et al.  Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning , 2009, 2009 International Conference on Machine Learning and Applications.

[9]  Peter Stone,et al.  Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..

[10]  Abhijit Gosavi,et al.  Reinforcement Learning: A Tutorial Survey and Recent Advances , 2009, INFORMS J. Comput..

[11]  Bhaskara Marthi,et al.  Automatic shaping and decomposition of reward functions , 2007, ICML '07.

[12]  Alan Fern,et al.  Multi-task reinforcement learning: a hierarchical Bayesian approach , 2007, ICML '07.

[13]  Jude W. Shavlik,et al.  Relational Macros for Transfer in Reinforcement Learning , 2007, ILP.

[14]  Brett Browning,et al.  Learning by demonstration with critique from a human teacher , 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[15]  Eyal Amir,et al.  Bayesian Inverse Reinforcement Learning , 2007, IJCAI.

[16]  Manuela M. Veloso,et al.  Probabilistic policy reuse in a reinforcement learning agent , 2006, AAMAS '06.

[17]  S. Mahadevan,et al.  Proto-transfer Learning in Markov Decision Processes Using Spectral Methods , 2006 .

[18]  Eduardo F. Morales,et al.  Learning to fly by combining reinforcement learning with behavioural cloning , 2004, ICML.

[19]  Pieter Abbeel,et al.  Apprenticeship learning via inverse reinforcement learning , 2004, ICML.

[20]  Gerald Tesauro,et al.  Practical issues in temporal difference learning , 1992, Machine Learning.

[21]  Richard S. Sutton,et al.  Reinforcement learning with replacing eligibility traces , 2004, Machine Learning.

[22]  Dirk Ormoneit,et al.  Kernel-Based Reinforcement Learning , 2004, Machine Learning.

[23]  M. van Otterlo.  Efficient Reinforcement Learning using Relational Aggregation , 2003 .

[24]  Stefan Schaal,et al.  Reinforcement Learning for Humanoid Robotics , 2003 .

[25]  Bernhard Hengst,et al.  Discovering Hierarchy in Reinforcement Learning with HEXQ , 2002, ICML.

[26]  Ronen I. Brafman,et al.  R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning , 2001, J. Mach. Learn. Res..

[27]  Malcolm J. A. Strens,et al.  A Bayesian Framework for Reinforcement Learning , 2000, ICML.

[28]  Thomas G. Dietterich.  Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition , 1999, J. Artif. Intell. Res..

[29]  Andrew Y. Ng,et al.  Pharmacokinetics of a novel formulation of ivermectin after administration to goats , 2000, ICML.

[30]  Doina Precup,et al.  Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning , 1999, Artif. Intell..

[31]  Andrew Y. Ng,et al.  Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping , 1999, ICML.

[32]  Mark D. Pendrith,et al.  RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning , 1998, ICML.

[33]  Stuart J. Russell,et al.  Bayesian Q-Learning , 1998, AAAI/IAAI.

[34]  Leslie Pack Kaelbling,et al.  Planning and Acting in Partially Observable Stochastic Domains , 1998, Artif. Intell..

[35]  Stuart J. Russell,et al.  Reinforcement Learning with Hierarchies of Machines , 1997, NIPS.

[36]  Andrew W. Moore,et al.  Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..

[37]  Leemon C. Baird,et al.  Residual Algorithms: Reinforcement Learning with Function Approximation , 1995, ICML.

[38]  Michael L. Littman,et al.  Markov Games as a Framework for Multi-Agent Reinforcement Learning , 1994, ICML.

[39]  Hyongsuk Kim,et al.  CMAC-based adaptive critic self-learning control , 1991, IEEE Trans. Neural Networks.

[40]  Leslie Pack Kaelbling,et al.  Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons , 1991, IJCAI.

[41]  Tomaso A. Poggio,et al.  Extensions of a Theory of Networks for Approximation and Learning , 1990, NIPS.

[42]  De,et al.  Relational Reinforcement Learning , 2022 .