Jan Peters

12 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• Information-Theoretic Safe Bayesian Optimization — Journal of Machine Learning Research 2026
• Value-Distributional Model-Based Reinforcement Learning — Journal of Machine Learning Research 2024
• MushroomRL: Simplifying Reinforcement Learning Research — Journal of Machine Learning Research 2021
• A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning — Journal of Machine Learning Research 2021
• Gaussian Approximation for Bias Reduction in Q-Learning — Journal of Machine Learning Research 2021
• Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling — Journal of Machine Learning Research 2018
• Model-Free Trajectory-based Policy Optimization with Monotonic Improvement — Journal of Machine Learning Research 2018
• Stability of Controllers for Gaussian Process Dynamics — Journal of Machine Learning Research 2017
• Non-parametric Policy Search with Limited Information Loss — Journal of Machine Learning Research 2017
• Hierarchical Relative Entropy Policy Search — Journal of Machine Learning Research 2016
• Policy Evaluation with Temporal Differences: A Survey and Comparison — Journal of Machine Learning Research 2014
• Natural Evolution Strategies — Journal of Machine Learning Research 2014