Daniel Palenicek

5 papers · 2020–2025 · 4 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 👥 Mega-Team (32)

Conferences

ICLR (2) CORL (1) ICML (1) NIPS (1)

Top co-authors

Jan Peters (3) Boris Belousov (2) Zhengbang Zhu (1) Michael Lutter (1) Nhat Nguyen (1) Yihan Ni (1) Alexander Cowen-Rivers (1) Wulong Liu (1) Peyman Yadmellat (1) Zheng Chen (1)

Keywords

reinforcement learning (1) likelihood-free inference (1) autonomous driving (1) multi-agent learning (1) approximate bayesian computation (1) simulation-based inference (1) multi-agent simulation (1) behavior model (1) neural posterior estimation (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

Pseudo-Likelihood Inference NIPS 2023

Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning ICLR 2023

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CORL 2020