Marcin Moczulski
University of Michigan(US)Ann Arbor Center for Independent Living(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Stochastic Gradient Optimization Techniques, Evolutionary Algorithms and Applications, Advanced Neural Network Applications, Sparse and Compressive Sensing Techniques
Most-Cited Works
- → Deep Fried Convnets(2015)216 cited
- → Noisy Activation Functions(2016)82 cited
- Contingency-Aware Exploration in Reinforcement Learning(2018)
- → ACDC: A Structured Efficient Linear Layer(2015)20 cited
- → A robust adaptive stochastic gradient method for deep learning(2017)20 cited
- → Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards(2019)14 cited
- Self-Imitation Learning via Trajectory-Conditioned Policy for Hard-Exploration Tasks(2019)
- Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy.(2019)