Aivar Sootla

4 papers · 2022–2023 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 👑 Triple Crown

Venues

ICLR (2) ICML (1) NeurIPS (1)

Top co-authors

Jun Wang (4) Taher Jafferjee (2) Haitham Bou Ammar (2) Juliusz Krzysztof Ziomek (1) David H Mguni (1) Hang Ren (1) Junxiao Shen (1) Zipeng Dai (1) Oliver Slumbers (1) Haitham Ammar (1)

Research topics

Artificial Intelligence (4) Reinforcement Learning (4) Methods (4) Machine Learning (3) Core AI (3) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Learning Types (1) Optimization & Theory (1)

Keywords

reinforcement learning (3) safety constraint (2) policy learning (2) impulse control (1) markov decision process (1) value function (1) constraint satisfaction (1) hierarchical dirichlet process (1) markov chain (1) policy improvement (1) safe reinforcement learning (1) policy optimization (1) model-free reinforcement learning (1) policy generalization (1) budget constraint (1) safe exploration (1) state augmentation (1) almost surely safety (1) context distillation (1) safety state augmentation (1)

Papers

Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints ICLR 2023 Enhancing Safe Exploration Using Safety State Augmentation NeurIPS 2022 Reinforcement Learning in Presence of Discrete Markovian Context Evolution ICLR 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022