Nan Jiang

20142018
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Research Output 2014 2018

  • 9 Conference contribution
  • 6 Conference article

Completing state representations using spectral learning

Jiang, N., Kulesza, A. & Singh, S., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 4328-4337 10 p.

Research output: Contribution to journalConference article

Dynamical systems
Genes
Aircraft
Specifications

Hierarchical imitation and reinforcement learning

Le, H. M., Jiang, N., Agarwal, A., Dudík, M., Yue, Y. & Daumé, H., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 4560-4573 14 p. (35th International Conference on Machine Learning, ICML 2018; vol. 7).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Labeling
Labels
Costs
Decision making

On oracle-efficient PAC RL with rich observations

Dann, C., Jiang, N., Krishnamurthy, A., Agarwal, A., Langford, J. & Schapire, R. E., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 1422-1432 11 p.

Research output: Contribution to journalConference article

Reinforcement learning

PAC reinforcement learning with an imperfect model

Jiang, N., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 3334-3341 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Simulators
Trajectories
Polynomials

Contextual decision processes with low Bellman rank are PAC-learnable

Jiang, N., Krishnamurthy, A., Agarwal, A., Langford, J. & Schapire, R. E., Jan 1 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 2671-2707 37 p. (34th International Conference on Machine Learning, ICML 2017; vol. 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Learning algorithms
Polynomials