tamland / non-linear-optimizationLinks
Implementation of Steepest Descent, Newton, Quasi-Newton and Conjugate Gradient for non-linear unconstrained optimization
☆28Updated 12 years ago
Alternatives and similar repositories for non-linear-optimization
Users that are interested in non-linear-optimization are comparing it to the libraries listed below
Sorting:
- Self-contained implementation of non-convex optimization algorithms in python. Steepest Descent, Conjugate Gradient, Newton's Method, Qua…☆81Updated 3 years ago
- Generative Adversarial Nets for Matlab☆36Updated 8 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- Collaborative Deep Reinforcement Learning☆31Updated 8 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 7 years ago
- ☆37Updated 9 years ago
- ☆53Updated 8 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- Solving POMDPs using exact and approximate methods☆14Updated 8 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning☆57Updated 7 years ago
- Supporting material for "Deep Stochastic Radar Models," submitted to IV 2017☆18Updated 6 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 9 years ago
- Code accompanying the paper M. Sorel, F. Sroubek, "Fast convolutional sparse coding using matrix inversion lemma", Digital Signal Process…☆31Updated 8 years ago
- Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, …☆37Updated 7 years ago
- Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment☆24Updated 8 years ago
- PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)☆80Updated 8 years ago
- deep reinforcement learning for personal research☆85Updated 8 years ago
- ☆69Updated 7 years ago
- Bayesian nonparametric small-variance asymptotic clustering algorithms☆20Updated 8 years ago
- Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone☆54Updated 2 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Updated 4 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆139Updated 8 years ago
- Implementation for "Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization"☆10Updated 3 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆43Updated 10 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆71Updated 8 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆35Updated 8 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago