Daniel Palenicek
5 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
Venues
Top co-authors
Research topics
Keywords
sample efficiency
(2)
continuous control
(2)
approximate inference
(1)
batch normalization
(1)
likelihood-free inference
(1)
autonomous driving
(1)
policy iteration
(1)
multi-agent learning
(1)
model-based reinforcement learning
(1)
high-dimensional control
(1)
approximate bayesian computation
(1)
diffusion model
(1)
simulation-based inference
(1)
dynamics model
(1)
multi-agent simulation
(1)
behavior model
(1)
target network
(1)
maximum entropy reinforcement learning
(1)
neural posterior estimation
(1)
value expansion
(1)
Papers
DIME: Diffusion-Based Maximum Entropy Reinforcement Learning
ICML 2025
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
ICLR 2024
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
ICLR 2023
Pseudo-Likelihood Inference
NeurIPS 2023
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
CoRL 2020