Play to Grade: Testing Coding Games as Classifying Markov Decision Process

von Nie, Allen
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 3 of 36 (2022)

UNDERSTANDING THE CURSE OF HORIZON IN OFF-POLICY EVALUATION VIA CONDITIONAL IMPORTANCE SAMPLING

von Liu, Yao
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 8 of 15 (2021)

Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning

von Zanette, Andrea
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 17 of 36 (2022)

ALMOST HORIZON-FREE STRUCTURE-AWARE BEST POLICY IDENTIFICATION WITH A GENERATIVE MODEL

von Zanette, Andrea
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 8 of 20 (2020)

Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes

von Nam, HyunJi Alex
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 19 of 36 (2022)

Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring

von Nie, Allen
Veröffentlicht in International Conference on Artificial Intelligence in Education (24. : 2023 : Tokio; Online) Artificial intelligence in education (2023)

PROVABLY GOOD BATCH OFF-POLICY REINFORCEMENT LEARNING WITHOUT GREAT EXPLORATION

von Liu, Yao
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

Automatic Adaptive Sequencing in a Webgame

von Mu, Tong
Veröffentlicht in ITS (17. : 2021 : Online) Intelligent Tutoring Systems (2021)

OFF-POLICY POLICY EVALUATION FOR SEQUENTIAL DECISIONS UNDER UNOBSERVED CONFOUNDING

von Namkoong, Hongseok
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)

Design of Experiments for Stochastic Contextual Linear Bandits

von Zanette, Andrea
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 27 of 36 (2022)

LIMITING EXTRAPOLATION IN LINEAR APPROXIMATE VALUE ITERATION

von Zanette, Andrea
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 8 of 20 (2020)

Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits

von Mu, Tong
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 11 of 50 (2023)

PROVABLY EFFICIENT REWARD-AGNOSTIC NAVIGATION WITH LINEAR VALUE ITERATION

von Zanette, Andrea
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)

Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data

von Nie, Allen
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 20 of 50 (2023)

Oracle Inequalities for Model Selection in Offline Reinforcement Learning

von Lee, Jonathan N
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 37 of 50 (2023)

Giving Feedback on Interactive Student Programs with Meta-Exploration

von Liu, Evan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 47 of 50 (2023)

Off-Policy Evaluation for Action-Dependent Non-stationary Environments

von Chandak, Yash
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 13 of 50 (2023)

Universal Off-Policy Evaluation

von Chandak, Yash
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)

INTERPRETABLE OFF-POLICY EVALUATION IN REINFORCEMENT LEARNING BY HIGHLIGHTING INFLUENTIAL TRANSITIONS

von Gottesman, Omer
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 5 of 15 (2021)

Towards the Future of AI-Augmented Human Tutoring in Math Learning

von Aleven, Vincent
Veröffentlicht in International Conference on Artificial Intelligence in Education (24. : 2023 : Tokio; Online) Artificial intelligence in education (2023)