Hausknecht, Matthew

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Machado, M. C., Bellemare, M. G., Talvitie, E., Veness, J., Hausknecht, M., & Bowling, M. (2018) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 359

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Shridhar, M., Yuan, X., Côté, M.-A., Bisk, Y., Trischler, A., & Hausknecht, M. (2020) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 80

Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Yao, S., Rao, R., Hausknecht, M., & Narasimhan, K. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 75