Systematic self-exploration of behaviors for robots in a dynamical systems framework. - Cristina Pinneri; Georg Martius (ALIFE, 2018)

Sample-efficient Cross-Entropy Method for Real-time Planning. - Cristina Pinneri; Shambhuraj Sawant; Sebastian Blaes; Jan Achterhold; Joerg Stueckler; Michal Rolínek; Georg Martius (CoRL, 2020)

Risk-Averse Zero-Order Trajectory Optimization. - Marin Vlastelica P.; Sebastian Blaes; Cristina Pinneri; Georg Martius (CoRL, 2021)

Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers. - Cristina Pinneri; Shambhuraj Sawant; Sebastian Blaes; Georg Martius (ICLR, 2021)

Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning. - Onno Eberhard; Jakob J. Hollenstein; Cristina Pinneri; Georg Martius (ICLR, 2023)

Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning. - Marin Vlastelica; Sebastian Blaes; Cristina Pinneri; Georg Martius (CoRR, 2023)

Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. - Cristina Pinneri; Sarah Bechtle; Markus Wulfmeier; Arunkumar Byravan; Jingwei Zhang 001; William F. Whitney; Martin A. Riedmiller (CoRR, 2023)

Sample-efficient Model-based Reinforcement Learning: An analysis of zero-order trajectory optimization, policy distillation and distance learning. - Cristina Pinneri (2023)