Jikun Kang
Contact me at firstname dot lastname at mail dot mcgill dot ca
Room 305
McConnel Building
McGill University
I am a Ph.D. candidate at McGill University. I am fortunate to be advised by Prof. Xue (Steve) Liu.
My research interest lies in the domain of Reinforcement Learning, Meta-RL and Applied RL. Recently, I’m working on improving RL policy generalization and sample-efficiency.
news
Dec 23, 2023 | Our latest paper LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models has been accepted to AAAI 2024 Human-Centric Representation Learning. |
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May 28, 2023 | Thrilled to see that my recent research with MSR has garnered attention from the community.twitter |
Jan 18, 2023 | Happy to share our paper “Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks” was accepted at IEEE International Conference on Communications (ICC) 2023! |
Sep 10, 2022 | I’m thrilled to announce that our latest paper “Learning Multi-Objective Curricula for Robotic Policy Learning” has been accepted to CoRL 2022. |
Aug 2, 2022 | Our latest paper about how to improve policy generalization in real-world application (5G networking) has been accepted to GlobeCOM2022! |
selected publications
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CoRL
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Globecom
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ICC
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GlobecomLoad Balancing for Communication Networks via Data-Efficient Deep Reinforcement LearningIn GLOBECOM 2021
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NeurIPSMulti-Agent Option Critic ArchitectureIn Neural Information Processing Systems (NeurIPS) workshops in Deep Reinforcement Learning 2020
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ICCMulti-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular NetworksIn ICC 2023
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preprintThink Before You Act: Decision Transformers with Internal Working MemoryarXiv preprint arXiv:2305.16338 2023