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Joni Pajarinen

28 papers · 2019–2026 · 8 venues · across top CS/AI venues

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Achievements

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+7 more ↓ 🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬 Deep Specialist (10) 🧬 Topic Evolution 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🗃️ Keyword Collector (147) 💎 Century Club · Bronze

Venues

ICML (10) AAAI (6) ICLR (5) CoRL (3) AISTATS (1) IJCAI (1) JMLR (1) L4DC (1)

Top co-authors

Jan Peters (7) Wenshuai Zhao (6) Yi Zhao (6) Juho Kannala (5) Pascal Klink (5) Vivienne Huiling Wang (4) Zhiyuan Li (4) Aidan Scannell (4) Carlo D’Eramo (3) Tinghuai Wang (3)

Research topics

Reinforcement Learning (21) Methods (19) Machine Learning (14) Artificial Intelligence (12) Learning Types · Machine Learning (9) Deep Learning (8) Core AI (8) Applications (7) Optimization & Theory (7) Learning Paradigms (4) Learning Types · Deep Learning (4) Core Methods (3) Models (3) Computer Vision (2) Mathematics & Optimization (2)

Keywords

reinforcement learning (5) monte carlo tree search (3) multi-agent reinforcement learning (3) optimal transport (3) uncertainty quantification (3) policy optimization (2) curriculum generation (2) object-centric learning (2) hierarchical reinforcement learning (2) latent dynamics model (2) policy update (2) policy learning (2) function approximation (1) gaussian processes (1) continual learning (1) imitation learning (1) regret analysis (1) probabilistic modeling (1) video understanding (1) offline reinforcement learning (1)

Papers

End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint) AAAI 2026 Predicting Video Slot Attention Queries from Random Slot-Feature Pairs AAAI 2026 AgentMixer: Multi-Agent Correlated Policy Factorization AAAI 2025 Discrete Codebook World Models for Continuous Control ICLR 2025 Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025 Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance CoRL 2025 Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals ICML 2025 Learning Progress Driven Multi-Agent Curriculum ICML 2025 Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport ICML 2025 Multi-Scale Fusion for Object Representation ICLR 2025 Backpropagation Through Agents AAAI 2024 Bi-Level Motion Imitation for Humanoid Robots CoRL 2024 Function-space Parameterization of Neural Networks for Sequential Learning ICLR 2024 Optimistic Multi-Agent Policy Gradient ICML 2024 Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning ICML 2024 Residual learning and context encoding for adaptive offline-to-online reinforcement learning L4DC 2024 RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands CoRL 2024 Hierarchical Imitation Learning with Vector Quantized Models ICML 2023 Simplified Temporal Consistency Reinforcement Learning ICML 2023 State-Conditioned Adversarial Subgoal Generation AAAI 2023 Boosted Curriculum Reinforcement Learning ICLR 2022 Curriculum Reinforcement Learning via Constrained Optimal Transport ICML 2022 Topological Experience Replay ICLR 2022 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning JMLR 2021 Convex Regularization in Monte-Carlo Tree Search ICML 2021 Latent Derivative Bayesian Last Layer Networks AISTATS 2021 Generalized Mean Estimation in Monte-Carlo Tree Search IJCAI 2020 Projections for Approximate Policy Iteration Algorithms ICML 2019