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Research Output 2013 2019

  • 7 Conference article
  • 5 Conference contribution
  • 4 Paper
  • 2 Article
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Conference contribution
2019

Dynamic programming for POMDP with jointly discrete and continuous state-spaces

Lee, D., He, N. & Hu, J., Jul 2019, 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., p. 1250-1255 6 p. 8815313. (Proceedings of the American Control Conference; vol. 2019-July).

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

Dynamic programming
Stochastic systems
Reinforcement learning
Learning algorithms
Linear systems

Stochastic primal-dual Q-learning algorithm for discounted mdps

Lee, D. & He, N., Jul 2019, 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., p. 4897-4902 6 p. 8815275. (Proceedings of the American Control Conference; vol. 2019-July).

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

Reinforcement learning
Learning algorithms
Hinges
Linear programming

Target-based temporal-difference learning

Lee, D. & He, N., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 6619-6628 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

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

Learning algorithms
Reinforcement learning
learning
reinforcement
simulation
2018

SBEED: Convergent reinforcement learning with nonlinear function approximation

Dai, B., Shaw, A., Li, L., Xiao, L., He, N., Liu, Z., Chen, J. & Song, L., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 1809-1818 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 3).

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

Reinforcement learning
2017

Stochastic generative hashing

Dai, B., Guo, R., Kumar, S., He, N. & Song, L., Jan 1 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 1522-1538 17 p. (34th International Conference on Machine Learning, ICML 2017; vol. 2).

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

Hash functions
Learning algorithms
Experiments