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