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Contents 1 Reports 2 Exploration 3 Control 3.1 Apprenticeship Learning 3.2 Model Predictive Control 3.3 Others 4 Reinforcement Learning Theory 4.1 Repository

Reports

Google Doc

Exploration

Nick Roy

• Trajectory Optimization using Reinforcement Learning for Map Exploration Kollar, T., & Roy, N. (2008).

• Efficient optimization of information-theoretic exploration in SLAM Kollar, T., & Roy, N. (2008).

Cyrill Stachniss

• Information gain-based exploration using rao-blackwellized particle filters Stachniss, C., Grisetti, G., & Burgard, W. (2005)

• Exploration with active loop-closing for FastSLAM Stachniss, C., & Hahnel, D. (2004).

• Exploring Unknown Environments with Mobile Robots using Coverage Maps Stachniss, C., & Burgard, W. (2003)

Control

Apprenticeship Learning

Pieter Abbeel Helicopter Aerobatics

• Apprenticeship learning via inverse reinforcement learning Abbeel, P., & Ng, A. Y. (2004).

• Apprenticeship learning and reinforcement learning with application to robotic control Abbeel, P. (2008).

• A game-theoretic approach to apprenticeship learning Syed, U., & Schapire, R. E. (2008).

Model Predictive Control

Reinforcement learning versus model predictive control: a comparison on a power system problem. Ernst, D., Glavic, M., & Capitanescu, F. (2009)

Others

• Module-Based Reinforcement Learning : Experiments with a Real Robot Kalmar, Z., Szepesvari, C., & Lorincz, A. (1998).

• Reinforcement learning for humanoid robotics Peters, J., Vijayakumar, S., & Schaal, S. (2003).

Russ Tedrake

Reinforcement Learning Theory

Predictive State Representation Satinder Singh Byron Boots

• Closing the learning-planning loop with predictive state representations. Boots, B., & Siddiqi, S. (2010)

Leslie Kaelbling

Michael Littman

Rich Sutton

Repository

http://reinforcementlearning.ai-depot.com/Papers.html

http://www-all.cs.umass.edu/rlr/