yrlu / non-convexLinks
Self-contained implementation of non-convex optimization algorithms in Python. Steepest Descent, Conjugate Gradient, Newton's Method, Quasi-newton (BFGS), l-BFGS
☆83Updated 4 years ago
Alternatives and similar repositories for non-convex
Users that are interested in non-convex are comparing it to the libraries listed below
Sorting:
- Implementation of Steepest Descent, Newton, Quasi-Newton and Conjugate Gradient for non-linear unconstrained optimization☆28Updated 12 years ago
- A library to benchmark reinforcement learning algorithms☆21Updated 7 years ago
- Stabilizable Nonlinear Dynamics Learning☆22Updated 6 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 6 years ago
- Course notes for AA203☆153Updated 5 years ago
- Implementation of robust adaptive control methods for the linear quadratic regulator☆38Updated 3 years ago
- Generate taylored code for Differential Dynamic Programming (DDP) aka Iterative Linear Quadratic Gaussian (iLQG) solvers for finite time …☆15Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Differential Dynamic Programming controller operating in OpenAI Gym environment.☆87Updated 5 years ago
- Path Planning using Generative Adversarial Network (GAN)☆47Updated 4 years ago
- Code for ICRA2018 - Intent-aware Multi-agent Reinforcement Learning.☆22Updated 7 years ago
- Guided policy search in Python and ROS Indigo.☆26Updated 7 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- Efficient Point-Based POMDP Planning by Approximating☆91Updated 5 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 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
- Safe Bayesian Optimization☆150Updated 3 years ago
- Safe exploration in Markov Decision Processes☆37Updated 8 years ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- ☆54Updated 7 years ago
- Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…☆32Updated 4 years ago
- CitySim3D: Simulated car following benchmark☆27Updated 2 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆70Updated 8 years ago
- TD-Regularized Actor-Critic Methods☆35Updated 5 years ago
- ☆37Updated 9 years ago
- Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone☆54Updated 2 years ago
- Monte Carlo Motion Planning: ISRR 2015 Code☆17Updated 9 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆138Updated 4 years ago
- Jointly learning policies and latent representations for driver behavior.☆15Updated 8 years ago
- The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.☆84Updated 5 years ago