Andrew Melnik
University of Bremen(DE)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Multimodal Machine Learning Applications, Generative Adversarial Networks and Image Synthesis, Neural dynamics and brain function
Most-Cited Works
- → Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?(2017)130 cited
- → Learning to Run Challenge Solutions: Adapting Reinforcement Learning Methods for Neuromusculoskeletal Environments(2018)79 cited
- → Face Generation and Editing With StyleGAN: A Survey(2024)78 cited
- → EEG correlates of sensorimotor processing: independent components involved in sensory and motor processing(2017)54 cited
- → Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning(2021)30 cited
- → The World as an External Memory: The Price of Saccades in a Sensorimotor Task(2018)27 cited
- → Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks(2021)23 cited
- → An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture(2018)19 cited
- → Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion(2019)18 cited
- → Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3(2020)12 cited