Name: Kristian Hartikainen
Type: User
Company: Google / DeepMind
Bio: PhD student at WhiRL at Oxford. Research intern at Google/DeepMind.
Previously at the Robotic AI and Learning Lab (RAIL) at UC Berkeley.
Twitter: kristianhartika
Location: London, United Kingdom
Blog: https://hartikainen.github.io/
Kristian Hartikainen's Projects
Multitask Environments for RL
Probabilistic reasoning and statistical analysis in TensorFlow
Medical Retail Soft in Django
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A high-performance distributed execution engine
Rich is a Python library for rich text and beautiful formatting in the terminal.
An attempt to apply reinforcement learning to graph signal recovery problem
Collection of reinforcement learning algorithms
Surreal Robotics Suite: standardized and accessible robot manipulation benchmark in physics simulation
Ruppert's Delaunay Refine algorithm implemented in Matlab.
Soft Actor-Critic
Python3 ROS Interface to Rethink Sawyer Robots with OpenAI Gym Compatibility
Utilities for creating serializable classes
Simple compiler front-end created with Coco/R Compiler Generator
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Stanford CS224n: Natural Language Processing with Deep Learning
Stanford CS231n: Convolutional Neural Networks for Visual Recognition
T-106.5300 Embedded Systems
some common TD Learning algorithms
Computation using data flow graphs for scalable machine learning
Simple Jyputer notebook setup for testing Tensorflow and Numpy
tree is a library for working with nested data structures
TensorFlow Reinforcement Learning
Composable metric reporters in Python.
rllab's viskit with some added features
Wine Classification
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent