Scholar
Mohammadreza Nakhaei
Google Scholar ID: jLUjb6IAAAAJ
PhD candidate, Aalto University
Citations & Impact
Citations
13
H-index
3
i10-index
0
Publications
6
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning, AAAI 2025
- - Discrete Codebook World Models for Continuous Control, ICLR 2025
- - Residual learning and context encoding for adaptive offline-to-online reinforcement learning, L4DC 2024
- - Dynamic modeling of industrial manipulator Hyundai HS165 in order to determine the dynamic load-carrying capacity for a specified trajectory, ICROM 2019
- - Improving sample efficiency and exploration in upside-down reinforcement learning, Journal of Information and Intelligence 2025
- - Conference Presentations:
- - ICLR 2025 in Singapore
- - L4DC 2024 in Oxford, UK
- - Arlet@ICML2024 workshop
- - Projects:
- - Automatic path planning of spraying robot (2020-2021)
Research Experience
- - Since September 2022: PhD student at the Robot Learning Lab at Aalto University
- - Since September 2022: Visiting researcher at the Computational Intelligence (CI) research group at Vrije Universiteit Amsterdam, supervised by Prof. Kevin Luck
- - Since September 2022: Teaching assistant for reinforcement learning (RL) course
- - 2020-2021: Participated in the Automatic path planning of spraying robot project
Education
- - PhD: Aalto University, Robot Learning Lab, started in September 2022, supervised by Prof. Joni Pajarinen
- - Master's Degree: University of Tehran, Mechatronics Engineering, supervised by Dr. Askari Moghadam, focusing on supervised methods in reinforcement learning
- - Bachelor's Degree: Iran University of Science and Technology, Mechanical Engineering, gained hands-on experience with industrial manipulators and various control methods under the supervision of Prof. Habibnejad Korayem
Background
- - Research Interests: Reinforcement learning and robotics, with a particular emphasis on offline meta-RL
- - Professional Field: Representation learning, such as developing efficient latent world models and studying disentanglement
- - Brief Introduction: A third-year PhD student at the Robot Learning Lab at Aalto University, supervised by Prof. Joni Pajarinen
Miscellany
- - Personal Interests: Not explicitly mentioned
