Jikun Kang

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

jikunkang.jpg

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

Mar 05, 2025 Thrilled to announce our paper “LM2: Large Memory Models for Long Context Reasoning” has been accepted at ICLR 2-25 Reasonings and Planning for LLMs.
Feb 26, 2025 Happy to share new web agent benchmark: ~~WebGames~. Paper BlogPost Code
Feb 21, 2025 Honored to share our recent research work on memory-based Transformer models: ~~LM2: Large Memory Models~. Paper BlogPost Code
Dec 10, 2024 Glad to share that I have been selected as an Outstanding Reviewer for NeurIPS 2024!
Jul 01, 2024 I’m excited to share MindStar, our latest research on large language model reasoning.

latest posts

selected publications

  1. ICLR
    LM2: Large Memory Models for Long Context Reasoning
    Jikun Kang, Wenqi Wu, Filippos Christianos, and 5 more authors
    ICLR 2025 Reasoning and Planning for LLMs, 2025
  2. Preprint
    Mindstar: Enhancing math reasoning in pre-trained llms at inference time
    Jikun Kang, Xin Zhe Li, Xi Chen, and 8 more authors
    arXiv preprint arXiv:2405.16265, 2024
  3. 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
  4. 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
  5. Smart Grid
    Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning
    Tianyi Chen, Shengrong Bu, Xue Liu, and 3 more authors
    IEEE Trans. Smart Grid, 2022
  6. CoRL
    Learning Multi-Objective Curricula for Robotics Policy Learning
    Jikun Kang, Miao Liu, Abhinav Gupta, and 3 more authors
    CoRL, 2022