Dhruv Sreenivas

3 papers · 2021–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) ICLR (1)

Top co-authors

Wen Sun (2) Kaiwen Wang (1) Yingbing Huang (1) Volodymyr Kuleshov (1) Jonathan Chang (1) Shachi Deshpande (1) Masatoshi Uehara (1) Kianté Brantley (1) Jonathan Daniel Chang (1) Rahul Kidambi (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (3) Artificial Intelligence (2) Core AI (2) Deep Learning (1) Knowledge & Reasoning (1) Reinforcement Learning (1) Learning Types · Deep Learning (1) Methods (1) Reasoning (1)

Keywords

sample efficiency (1) offline reinforcement learning (1) imitation learning (1) ensemble learning (1) multimodal learning (1) causal effect estimation (1) behavior cloning (1) covariate shift (1) off-policy learning (1) structural equation model (1) latent variable (1) replay buffer (1) adversarial imitation learning (1) proxy variable (1) partial coverage (1) expert policy (1) structural equation (1)

Papers

Adversarial Imitation Learning via Boosting ICLR 2024 Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies NeurIPS 2022 Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage NeurIPS 2021