UMBC ebiquity UMBC ebiquity

Tags: reinforcement learning

Subscribe

Publications

2023

  1. A. Piplai, A. Joshi, and T. Finin, "Offline RL+CKG: A hybrid AI model for cybersecurity tasks", InProceedings, AAAI Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering, March 2023, 179 downloads.

2022

  1. A. Piplai, M. Anoruo, K. Fasaye, A. Joshi, T. Finin, and A. Ridley, "Knowledge guided Two-player Reinforcement Learning for Cyber Attacks and Defenses", InProceedings, International Conference on Machine Learning and Applications, December 2022, 431 downloads.

2020

  1. A. Piplai, P. Ranade, A. Kotal, S. Mittal, S. N. Narayanan, and A. Joshi, "Using Knowledge Graphs and Reinforcement Learning for Malware Analysis", InProceedings, IEEE International Conference on Big Data 2020, December 2020, 888 downloads.
  2. R. Ayanzadeh, M. Halem, and T. Finin, "Reinforcement Quantum Annealing: A Hybrid Quantum Learning Automata", Article, Nature Scientific Reports, May 2020, 409 downloads.
  3. R. Ayanzadeh, M. Halem, and T. Finin, "Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach", Article, arXiv:2001.00234 [quant-ph], January 2020, 536 downloads.

Presentation

  1. Understanding Malware Behavior with Reinforcement Learning

Old Events

  1. Prediction markets for fun, feedback and the future
    March 17, 2011
  2. Feature-Based Local Policy Reinforcement Learning
    May 12, 2009
  3. Using Expert Traces to Reduce Training Time in Reinforcement Learning
    April 21, 2008
  4. Transfer in the Context of Reinforcement Learning by Mapping Q-Tables
    May 2, 2007
  5. META-LEVEL CONTROL IN BOUNDED-RATIONAL AGENTS
    December 1, 2003