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Resume (English only)
Academic Achievements
- Published multiple influential papers on offline reinforcement learning in top-tier conferences including NeurIPS, ICLR, and ICML
- Notable works include: 'Conservative Q-Learning for Offline Reinforcement Learning' (NeurIPS 2020), 'Offline reinforcement learning: Tutorial, review, and perspectives on open problems'
- Paper 'Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes' accepted at ICLR 2023 (Top 5%)
- Contributions in gradient estimation, variational bounds of mutual information, and Bayesian deep networks, e.g., 'DisARM: An antithetic gradient estimator for binary latent variables' (NeurIPS 2020 Spotlight)
- Developed and open-sourced projects such as DReGS (sites.google.com/corp/view/dregs) and Mirage-RL (github.com/brain-research/mirage-rl)
Co-authors: 0 (list not available)