Publications

  1. Z. Zhou, C. Allen, K. Asadi, and G. D. Konidaris. Characterizing the Action-Generalization Gap in Deep Q-Learning. In the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making, June 2022. [Bibtex]

  2. S. Lobel, O. Gottesman, C. Allen, A. Bagaria, and G. D. Konidaris. Optimistic Initialization for Exploration in Continuous Control. In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, February 2022. [Bibtex]

  3. C. Allen, N. Parikh, O. Gottesman, and G. D. Konidaris. Learning Markov State Abstractions for Deep Reinforcement Learning. In Advances in Neural Information Processing Systems, volume 34, December 2021. [Blog] [Bibtex]

  4. C. Allen, M. Katz, T. Klinger, G. D. Konidaris, M. Riemer, and G. Tesauro. Efficient Black-Box Planning Using Macro-Actions with Focused Effects. In Proceedings of the 30th International Joint Conference on Artificial Intelligence, August 2021. [Blog] [Bibtex]

  5. C. Allen, M. Katz, T. Klinger, G. D. Konidaris, M. Riemer, and G. Tesauro. Efficient Black-Box Planning Using Macro-Actions with Focused Effects. In the ICAPS Workshop on Heuristics and Search for Domain-independent Planning, August 2021. [Blog] [Bibtex]

  6. D. Abel, C. Allen, D. Arumugam, D. E. Hershkowitz, M. L. Littman, L. L. S. Wong. Bad-Policy Density: A Measure of Reinforcement Learning Hardness. In the ICML Workshop on Reinforcement Learning Theory, July 2021. [Bibtex]

  7. C. Allen, N. Parikh, and G. D. Konidaris. Learning Markov State Abstractions for Deep Reinforcement Learning. In the NeurIPS Deep Reinforcement Learning Workshop, December 2020. [Bibtex]

  8. C. Allen*, K. Asadi*, M. Roderick, A. Mohamed, G. D. Konidaris, and M. L. Littman. Mean Actor Critic. arXiv:1709.00503 [stat.ML], September 2017. [Bibtex]


* Equal contribution