Claas Völcker

Orcid: 0009-0002-4002-8852

According to our database1, Claas Völcker authored at least 15 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Relative Entropy Pathwise Policy Optimization.
CoRR, July, 2025

Sorrel: A simple and flexible framework for multi-agent reinforcement learning.
CoRR, June, 2025

Calibrated Value-Aware Model Learning with Stochastic Environment Models.
CoRR, May, 2025

MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Can we hop in general? A discussion of benchmark selection and design using the Hopper environment.
CoRR, 2024

Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence.
CoRR, 2024

When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning.
RLJ, 2024

Dissecting Deep RL with High Update Ratios: Combatting Value Divergence.
RLJ, 2024

Temporal-Difference Learning Using Distributed Error Signals.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
λ-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces.
CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.
CoRR, 2023


2022
Value Gradient weighted Model-Based Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
Structured Object-Aware Physics Prediction for Video Modeling and Planning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019


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