ArXiv TLDR

Andreas Krause

2 papers · Latest:

Machine Learning

Bounded Ratio Reinforcement Learning

This paper introduces Bounded Ratio Reinforcement Learning (BRRL) and BPO, a new algorithm that theoretically guarantees monotonic improvement and empirically outperforms PPO.

2604.18578
Machine Learning

Model-Based Reinforcement Learning for Control under Time-Varying Dynamics

This paper introduces a model-based RL algorithm with adaptive data buffers to handle time-varying system dynamics, improving control performance.

2604.02260

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