Jikun Kang

Contact me at firstname dot lastname at mail dot mcgill dot ca

jikunkang.jpg

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

Jul 1, 2024 I’m excited to share MindStar, our latest research on large language model reasoning.
May 1, 2024 I’m thrilled to announce our paper “Think Before You Act: Decision Transformers with Internal Memory” is accepted at ICML 2024.
Apr 14, 2024 Our latest paper “Incentive Temperature Control for Green Colocation Data Centers via Reinforcement Learning” has been accepted to the IWQoS 2024.
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.
May 28, 2023 Thrilled to see that my recent research with MSR has garnered attention from the community.twitter

latest posts

selected publications

  1. ICML
    Think Before You Act: Decision Transformers with Internal Working Memory
    Jikun Kang, Romain Laroche, Xindi Yuan, and 3 more authors
    arXiv preprint arXiv:2305.16338, 2024
  2. CoRL
    Learning Multi-Objective Curricula for Robotics Policy Learning
    Jikun Kang, Miao Liu, Abhinav Gupta, and 3 more authors
    CoRL, 2022
  3. Globecom
    A Generalized Load Balancing Policy With Multi-Teacher Reinforcement Learning
    Jikun Kang, Ju Wang, Chengming Hu, and 2 more authors
    In GLOBECOM, 2022
  4. ICC
    Hierarchical Policy Learning for Hybrid Communication Load Balancing
    Jikun Kang, Xi Chen, Di Wu, and 5 more authors
    In ICC, 2021
  5. ICC
    Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks
    Jikun Kang, Di Wu, Ju Wang, and 2 more authors
    In ICC, 2023
  6. IWQoS
    Incentive Temperature Control for Green Colocation Data Centers via Reinforcement Learning
    Rongrong Wang, Duc Van Le, Jikun Kang, and 2 more authors
    In IEEE/ACM International Symposium on Quality of Service (IWQoS), 2024
  7. AAAI
    LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language
    Qianxi Li, Yingyue Cao, Jikun Kang, and 4 more authors
    In AAAI 2024 Human-Centric Representation Learning, 2024