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Frank Röder

2 accepted papers

2025

Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization

NeurIPS 2025poster

Real-world reinforcement learning demands adaptation to unseen environmental conditions without costly retraining. Contextual Markov Decision Processes (cMDP) model this challenge, but existing methods often require explicit context variables (e.g., friction, gravity), limiting their use when contex…

Cited by 0SourceScholar
2025

Meta-World+: An Improved, Standardized, RL Benchmark

NeurIPS 2025poster

Meta-World is widely used for evaluating multi-task and meta-reinforcement learning agents, which are challenged to master diverse skills simultaneously. Since its introduction however, there have been numerous undocumented changes which inhibit a fair comparison of algorithms. This work strives to…

Cited by 0SourcecodeScholar