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