Joni Pajarinen
28 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π£ Hot Topic Early Bird
π
Academic Marathon
(6)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(81)
π
Century Club
(26)
π₯
Unstoppable
(7)
β‘
Prolific Year
(7)
Conferences
ICML (10)
AAAI (6)
ICLR (5)
CORL (3)
AISTATS (1)
IJCAI (1)
JMLR (1)
L4DC (1)
Top co-authors
Keywords
reinforcement learning
(5)
multi-agent reinforcement learning
(2)
policy update
(2)
policy learning
(2)
policy optimization
(2)
monte-carlo tree search
(2)
curriculum generation
(2)
sample efficiency
(1)
function approximation
(1)
regret analysis
(1)
markov decision process
(1)
curriculum learning
(1)
uncertainty quantification
(1)
optimal transport
(1)
probabilistic modeling
(1)
hierarchical reinforcement learning
(1)
constrained optimization
(1)
offline reinforcement learning
(1)
video understanding
(1)
adversarial learning
(1)
Papers
Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
AAAI 2026
End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint)
AAAI 2026
Discrete Codebook World Models for Continuous Control
ICLR 2025
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport
ICML 2025
Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance
CORL 2025
AgentMixer: Multi-Agent Correlated Policy Factorization
AAAI 2025
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
AAAI 2025
Learning Progress Driven Multi-Agent Curriculum
ICML 2025
Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
ICML 2025
Multi-Scale Fusion for Object Representation
ICLR 2025
Bi-Level Motion Imitation for Humanoid Robots
CORL 2024
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
CORL 2024
Backpropagation Through Agents
AAAI 2024
Function-space Parameterization of Neural Networks for Sequential Learning
ICLR 2024
Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning
ICML 2024
Optimistic Multi-Agent Policy Gradient
ICML 2024
Residual learning and context encoding for adaptive offline-to-online reinforcement learning
L4DC 2024
Simplified Temporal Consistency Reinforcement Learning
ICML 2023
State-Conditioned Adversarial Subgoal Generation
AAAI 2023
Hierarchical Imitation Learning with Vector Quantized Models
ICML 2023
Curriculum Reinforcement Learning via Constrained Optimal Transport
ICML 2022
Boosted Curriculum Reinforcement Learning
ICLR 2022
Topological Experience Replay
ICLR 2022
Latent Derivative Bayesian Last Layer Networks
AISTATS 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
JMLR 2021
Convex Regularization in Monte-Carlo Tree Search
ICML 2021
Generalized Mean Estimation in Monte-Carlo Tree Search
IJCAI 2020
Projections for Approximate Policy Iteration Algorithms
ICML 2019