Steven Lin

3 papers · 2018–2020 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

NeurIPS (2) ICML (1)

Top co-authors

Sergey Levine (3) Vitchyr Pong (3) Shikhar Bahl (2) Murtaza Dalal (2) Soroush Nasiriany (1) Ashvin V Nair (1) Ashvin Nair (1)

Research topics

Reinforcement Learning (3) Methods (3) Artificial Intelligence (2) Applications (2) Deep Learning (1) Machine Learning (1) Robotics (1) Capabilities (1) Core AI (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1)

Keywords

reinforcement learning (2) goal-conditioned policy (2) self-supervised learning (2) visual reinforcement learning (1) robot learning (1) unsupervised representation learning (1) latent variable model (1) skill learning (1) image observation (1) self-supervised reinforcement learning (1) goal-reaching policy (1) state coverage (1) maximum-entropy goal distribution (1) skill repertoire (1) representation learning (1) goal relabeling (1) sample efficiency (1) sequential decision making (1)

Papers

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning ICML 2020 Planning with Goal-Conditioned Policies NeurIPS 2019 Visual Reinforcement Learning with Imagined Goals NeurIPS 2018