Reinforcement Learning
- J. Eastep, D. Wingate, M. D. Santambrogio, A. Agarwal:
Smartlocks: Lock Acquisition Scheduling for Self-Aware Synchronization (pdf) (bibtex)
IEEE International Conference on Autonomic Computing and Communications
#mutex, #reinforcement learning, #adaptive
@article{J.Eastep:2010:75b1e,
author = {J. Eastep and D. Wingate and M. D. Santambrogio and A. Agarwal},
journal = {IEEE International Conference on Autonomic Computing and Communications},
title = {Smartlocks: Lock Acquisition Scheduling for Self-Aware Synchronization },
year = {2010},
keywords = {mutex, reinforcement learning, adaptive},
doi = {},
url = {http://web.mit.edu/~wingated/www/papers/icac10.pdf}
}
- J. Asmuth, L. Li, M. L. Littman, A. Nouri and D. Wingate:
A Bayesian Sampling Approach to Exploration in Reinforcement Learning (pdf) (bibtex)
Uncertainty in Artificial Intelligence
#bayesian, #sampling, #reinforcement learning
@article{J.Asmuth:2009:0134d,
author = {J. Asmuth and L. Li and M. L. Littman and A. Nouri and D. Wingate},
journal = {Uncertainty in Artificial Intelligence},
title = {A Bayesian Sampling Approach to Exploration in Reinforcement Learning },
year = {2009},
keywords = {bayesian, sampling, reinforcement learning},
doi = {},
url = {http://web.mit.edu/~wingated/www/papers/boss.pdf}
}
- D. Wingate, C. Diuk, T. O’Donnell, J.B. Tenenbaum, S.J. Gershman:
Compositional policy priors (pdf) (bibtex)
MIT CSAIL Technical Report 2013-007
#reinforcement learning, #grammar induction
@article{D.Wingate:2013:8a8cd,
author = {D. Wingate and C. Diuk and T. O’Donnell and J.B. Tenenbaum and S.J. Gershman},
journal = {MIT CSAIL Technical Report 2013-007},
title = {Compositional policy priors},
year = {2013},
keywords = {reinforcement learning, grammar induction},
doi = {},
url = {http://web.mit.edu/sjgershm/www/MIT-CSAIL-TR-2013-007.pdf}
}
- S.J. Gershman, E.J. Horvitz, J.B. Tenenbaum:
Computational rationality: a converging paradigm for intelligence in brains, minds, and machines (pdf) (bibtex)
Science
#decision making, #reinforcement learning, #hypothesis sampling
@article{S.J.Gershman:2015:79191,
author = {S.J. Gershman and E.J. Horvitz and J.B. Tenenbaum},
journal = {Science},
title = {Computational rationality: a converging paradigm for intelligence in brains, minds, and machines},
year = {2015},
keywords = {decision making, reinforcement learning, hypothesis sampling},
doi = {},
url = {http://web.mit.edu/sjgershm/www/GershmanHorvitzTenenbaum15.pdf}
}
- Tejas D Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum:
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#reinforcement learning, #hierarchical modeling, #deep learning
@article{TejasDKulkarni:2016:847fe,
author = {Tejas D Kulkarni and Karthik Narasimhan and Ardavan Saeedi and Josh Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation},
year = {2016},
keywords = {reinforcement learning, hierarchical modeling, deep learning},
doi = {},
url = {http://papers.nips.cc/paper/6232-hierarchical-deep-reinforcement-learning-integrating-temporal-abstraction-and-intrinsic-motivation}
}
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