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IJCAI
2007
14 years 11 months ago
Deictic Option Schemas
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
Balaraman Ravindran, Andrew G. Barto, Vimal Mathew
ICMLA
2010
14 years 7 months ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
69
Voted
ECML
1998
Springer
15 years 1 months ago
Theoretical Results on Reinforcement Learning with Temporally Abstract Options
Doina Precup, Richard S. Sutton, Satinder P. Singh
62
Voted
EWRL
2008
14 years 11 months ago
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
ML
2008
ACM
14 years 9 months ago
Transfer in variable-reward hierarchical reinforcement learning
Neville Mehta, Sriraam Natarajan, Prasad Tadepalli...