Jikun Kang
Contact me at firstname dot lastname at mail dot mcgill dot ca
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. |
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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
- ICMLThink Before You Act: Decision Transformers with Internal Working MemoryarXiv preprint arXiv:2305.16338, 2024
- CoRL
- Globecom
- ICC
- ICCMulti-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular NetworksIn ICC, 2023
- IWQoSIncentive Temperature Control for Green Colocation Data Centers via Reinforcement LearningIn IEEE/ACM International Symposium on Quality of Service (IWQoS), 2024
- AAAILaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning LanguageIn AAAI 2024 Human-Centric Representation Learning, 2024