djmartingale Goto Github PK

quantimed-dsgd

Code for our paper "Robust and Communication-Efficient Collaborative Learning", (NeurIPS 2019) https://arxiv.org/abs/1907.10595

quantum_computation

Code for implementing and experimenting with quantum algorithms

quantumspeech-qcnn

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

racinghpl

Racing using Hierarchical Predictive Learning

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reoptlite

research

rhadmm-algorithm

This repository contains the codes and supplementary materials of "Relaxed hybrid consensus ADMM for distributed convex optimisation with coupling constraints" paper.

risk-aware-rl

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rlkit

Collection of reinforcement learning algorithms

rlqp

Accelerating Quadratic Optimization with Reinforcement Learning

rnn-rl-frequency-lyapunov

robo

RoBO: a Robust Bayesian Optimization framework

robust-deepc

Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020

robust-risk-aware-rl

Some implementations from the paper robust risk aware reinforcement learning

robustrl

Ambiguity set construction for Model based Robust Reinforcement Learning.

safe-policy-optimization

This is a benchmark repository for safe reinforcement learning algorithms

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

scalable_maddpg

scalable multi agents reinforcement learning

sciann

Deep learning for Engineers - Physics Informed Deep Learning

sde

Example codes for the book Applied Stochastic Differential Equations

sg-collision-prediction

This repository includes the source code and dataset information needed to reproduce the results from our paper. For more information about our lab please visit https://aicps.eng.uci.edu

sindy-mpc

skdmd

Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems

small-signal-stability

Python code to small signal stability_Kundur example

smart-energy-electric-vehicle-range-prediction

smart-energy-machine-learning-optimization-techniques

Offline Optimization Problem, Online Gradient Descent, Online Balanced Gradient Descent, Receding Horizon Control Algorithm, Commitment Horizon Control Algorithm

smartenergy-time-series-prediction

Naive, XGBoost, AdaBoost and other Regressors

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.