ZehaoDou-official / Solutions-for-Math-TextbooksLinks
In this repository, I place my solution for the exercises in multiple famous math textbooks, including Stochastic Differential Equation, Partial Differential Equation, Optimization and so on.
☆13Updated last year
Alternatives and similar repositories for Solutions-for-Math-Textbooks
Users that are interested in Solutions-for-Math-Textbooks are comparing it to the libraries listed below
Sorting:
- Robust pricing and hedging via Neural SDEs☆36Updated 3 years ago
- Deep Optimal Stopping Project☆15Updated 5 years ago
- Website for a doctoral course on Dynamic Optimization☆19Updated last year
- ☆227Updated 2 years ago
- An advanced course on reinforcement learning offered at Columbia University IEOR in Spring 2018☆62Updated 4 years ago
- code for "Optimal Stopping via Randomized Neural Networks"☆55Updated last year
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆101Updated 6 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆42Updated 4 years ago
- Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures☆23Updated last year
- Solving high-dimensional Partial Differential Equations with Deep Learning☆27Updated 5 years ago
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).☆17Updated 2 years ago
- LaTeX style file for the Journal of Machine Learning Research☆135Updated 10 months ago
- ☆67Updated 6 years ago
- ☆118Updated 3 weeks ago
- Deep multistep methods to solve BSDEs of first and second order for the approximation of PDE solutions☆19Updated 5 years ago
- Code for Expert Supervised Reinforcement Learning☆10Updated 4 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Implementation of "Reinforcement Learning in Possibly Nonstationary Environments"☆9Updated 2 months ago
- A library for mean-field games.☆53Updated this week
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆181Updated 5 months ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆60Updated 2 years ago
- code for BINOCULARS and Multi-Step BO☆12Updated 4 years ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆101Updated last year
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆47Updated 2 years ago
- Some implementations from the paper robust risk aware reinforcement learning☆35Updated 3 years ago
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆121Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆242Updated 3 months ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago