Kate Rakelly

3 papers · 2019–2021 · 3 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 ❓ The Questioner

Venues

CoRL (1) ICML (1) NeurIPS (1)

Top co-authors

Sergey Levine (3) Chelsea Finn (2) Zihao Zhao (1) Anusha Nagabandi (1) Carlos Florensa (1) Deirdre Quillen (1) Aurick Zhou (1) Abhishek Gupta (1)

Research topics

Artificial Intelligence (2) Reinforcement Learning (2) Learning Paradigms (2) Methods (2) Deep Learning (1) Machine Learning (1) Mathematics & Optimization (1) Bayesian & Probabilistic (1) Core Methods (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Mathematics (1)

Keywords

meta-reinforcement learning (2) representation learning (2) few-shot learning (1) posterior sampling (1) markov decision process (1) mutual information (1) state representation (1) off-policy learning (1) optimal policy (1) mutual information maximization (1) sparse reward (1) robotic control (1) probabilistic context variable (1) task inference (1) latent state model (1) reinforcement learning (1)

Papers

Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NeurIPS 2021 MELD: Meta-Reinforcement Learning from Images via Latent State Models CoRL 2020 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019