research-readings
Here I try to jot down my understanding of the research papers I read and also some concepts in Math/ML I find interesting. My plan is to update this repository on a weekly basis. I concentrate majorly on deep learning, reinforcement learning and some math concepts. We are also maintaining another repository where we cover robotics literature. Please check that out if you are a roboticist.
List of papers
- Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
- Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
- Neurips month
- Deep Equilibrium Models
- Universal Transformer
- Stackelberg Actor-critic: A game theoretic perspective
- Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks
- Attention is All You Need
- Recurrent Independent Mechanisms
- Convexity and Convergence in Gradient Descent
- Notes on Stability of Dynamical Systems
- Radial Bayesian Neural Networks
- When do curricula work?
- Curriculum Learning in Reinforcement Learning
- Learning Agile and Dynamic Motor Skills for Legged Robots
- Reinforcement Learning via Fenchel Rockafellar Duality
- Off-Policy Actor-Critic
- Combining Physical Simulators and Object-Based Networks for Control
- Notes on Reproducing Kernel Hilbert Spaces