Boris Belousov

12 papers · 2016–2025 · 6 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (25) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🤝 Dynamic Duo (10) 🗃️ Keyword Collector (64) 📈 Trend Setter 💎 Century Club · Bronze 🌈 Renaissance Researcher (5)

Venues

CoRL (5) ICLR (2) NeurIPS (2) AAAI (1) IJCAI (1) JMLR (1)

Top co-authors

Jan Peters (10) Théo Vincent (3) Hany Abdulsamad (3) Carlo D'Eramo (3) Pascal Klink (2) Daniel Palenicek (2) Fabio Muratore (2) Jan R. Peters (2) Theo Gruner (2) Jan R Peters (2)

Research topics

Reinforcement Learning (10) Machine Learning (8) Methods (7) Artificial Intelligence (6) Learning Types (6) Optimization & Theory (6) Applications (5) Core AI (5) Deep Learning (3) Mathematics & Optimization (2) Optimization (2) Techniques (2) Interdisciplinary (1) Robotics (1) Architectures (1)

Keywords

sample efficiency (3) reinforcement learning (3) deep reinforcement learning (2) value function (2) likelihood-free inference (1) bayesian inference (1) sim-to-real transfer (1) exploration exploitation (1) sequential decision making (1) batch normalization (1) curriculum learning (1) graph representation (1) domain randomization (1) posterior distribution (1) value iteration (1) hyperparameter optimization (1) system identification (1) partially observable markov decision process (1) probabilistic modeling (1) offline reinforcement learning (1)

Papers

Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning ICLR 2025 CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity ICLR 2024 Parameterized Projected Bellman Operator AAAI 2024 Reinforcement Learning for Athletic Intelligence: Lessons from the 1st “AI Olympics with RealAIGym” Competition IJCAI 2024 Pseudo-Likelihood Inference NeurIPS 2023 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning JMLR 2021 Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction CoRL 2021 Neural Posterior Domain Randomization CoRL 2021 HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints CoRL 2019 Receding Horizon Curiosity CoRL 2019 Self-Paced Contextual Reinforcement Learning CoRL 2019 Catching heuristics are optimal control policies NeurIPS 2016