Showing results 1 to 4 of 4
Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes Poupart, Pascal; Malhotra, Aarti; Pei Pei; Kim, Kee Eung; Goh, Bongseok; Bowling, Michael, 29th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), 2015-01 |
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming Lee, Jongmin; Jang, Youngsoo; Poupart, Pascal; Kim, Kee-Eung, 26th International Joint Conference on Artificial Intelligence, pp.2088 - 2095, International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2017-08-24 |
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming Lee, Jongmin; Jang, Youngsoo; Poupart, Pascal; Kim, Kee-Eung, Scaling-Up Reinforcement Learning Workshop at ECML PKDD 2017, Scaling-Up Reinforcement Learning Workshop at ECML PKDD 2017, 2017-09-18 |
Monte-Carlo Tree Search for Constrained MDPs Lee, Jongmin; Kim, Geon-Hyeong; Poupart, Pascal; Kim, Kee-Eung, ICML/IJCAI/AAMAS Workshop on Planning and Learning (PAL), ICML/IJCAI/AAMAS Workshop on Planning and Learning (PAL), 2018-07-15 |
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