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Bikramjit Banerjee

Dr. Bikramjit Banerjee

Professor

Bio

  • PHD - Tulane University of Louisiana (2006)
  • MS - University of Tulsa (2000)
  • Modeling and reinforcement learning in partially observable many-agent systems, Autonomous Agents and Multi-Agent Systems, 2024,
  • Reinforcement Learning as a Rehearsal for Swarm Foraging, Swarm Intelligence, 2022,
  • Min-Max Entropy Inverse RL of Multiple Tasks, Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), 2021,
  • PALO Bounds for Reinforcement Learning in Partially Observable Stochastic Games, Neurocomputing, 2020,
  • I2RL: online inverse reinforcement learning under occlusion, Autonomous Agents and Multi-Agent Systems, 2020,
  • Team Learning from Human Demonstration with Coordination Confidence, The Knowledge Engineering Review, 2019,
  • Model-Free IRL using Maximum Likelihood Estimation, Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 2019,
  • Multirobot Systems, IEEE Intelligent Systems (Guest Editorial), 2017,
  • Association for the Advancement of Artificial Intelligence (AAAI)

Contact Me

Chain Technology Center (TEC) 201

Hattiesburg

Email
Bikramjit.BanerjeeFREEMississippi

Phone
601.266.4949

Areas of Expertise

Artificial intelligence, Machine learning