Claas Voelcker

20 papers A* 5Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Update-Free On-Policy Steering via Verifiers. CoRR Maria Attarian, Ian Vyse, Claas Voelcker, Jasper Gerigk, Evgenii Opryshko, Anas Almasri, Sumeet Singh, Yilun Du, Igor Gilitschenski
2025	A*	`conf`	Calibrated Value-Aware Model Learning with Probabilistic Environment Models. ICML Claas Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand
2025	J	`jnl`	Calibrated Value-Aware Model Learning with Stochastic Environment Models. CoRR Claas Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand
2025	A*	`conf`	MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL. ICLR Claas Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski
2025	J	`jnl`	Relative Entropy Pathwise Policy Optimization. CoRR Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Eric Eaton, Radu Grosu, Amir-massoud Farahmand, Igor Gilitschenski
2025	J	`jnl`	Sorrel: A simple and flexible framework for multi-agent reinforcement learning. CoRR Rebekah A. Gelpí, Yibing Ju, Ethan C. Jackson, Yikai Tang, Shon Eduard Verch, Claas Voelcker, William A. Cunningham
2025	J	`jnl`	Test-Time Graph Search for Goal-Conditioned Reinforcement Learning. CoRR Evgenii Opryshko, Junwei Quan, Claas Voelcker, Yilun Du, Igor Gilitschenski
2024	J	`jnl`	Dissecting Deep RL with High Update Ratios: Combatting Value Divergence. RLJ Marcel Hussing, Claas Voelcker, Igor Gilitschenski, Amir-massoud Farahmand, Eric Eaton
2024	J	`jnl`	Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence. CoRR Marcel Hussing, Claas Voelcker, Igor Gilitschenski, Amir-massoud Farahmand, Eric Eaton
2024	A*	`conf`	Temporal-Difference Learning Using Distributed Error Signals. NeurIPS Jonas Guan, Shon Eduard Verch, Claas Voelcker, Ethan C. Jackson, Nicolas Papernot, William A. Cunningham
2024	J	`jnl`	Temporal-Difference Learning Using Distributed Error Signals. CoRR Jonas Guan, Shon Eduard Verch, Claas Voelcker, Ethan C. Jackson, Nicolas Papernot, William A. Cunningham
2024	J	`jnl`	When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. RLJ Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
2024	J	`jnl`	When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. CoRR Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
2023	—	`conf`	Queer In AI: A Case Study in Community-Led Participatory AI. FAccT Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
2023	J	`jnl`	Queer In AI: A Case Study in Community-Led Participatory AI. CoRR Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
2023	J	`jnl`	λ-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces. CoRR Claas Voelcker, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand
2022	A*	`conf`	Value Gradient weighted Model-Based Reinforcement Learning. ICLR Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand
2022	J	`jnl`	Value Gradient weighted Model-Based Reinforcement Learning. CoRR Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand
2020	A*	`conf`	Structured Object-Aware Physics Prediction for Video Modeling and Planning. ICLR Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting
2019	J	`jnl`	Structured Object-Aware Physics Prediction for Video Modeling and Planning. CoRR Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting