DanielTakeshi / Self_Study_CoursesLinks
These will be public notes for courses that I'm self-studying.
☆26Updated 5 years ago
Alternatives and similar repositories for Self_Study_Courses
Users that are interested in Self_Study_Courses are comparing it to the libraries listed below
Sorting:
- Practice for coding interviews.☆36Updated 5 years ago
- Deep RL Bootcamp solutions☆35Updated 7 years ago
- Collection of tutorials, exercises and papers on RL☆17Updated 7 years ago
- Models built with TensorFlow☆25Updated 6 years ago
- ☆9Updated 5 years ago
- Boiler plate code for Torch based ML projects☆10Updated 3 years ago
- ☆24Updated 9 years ago
- Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley☆42Updated 7 years ago
- ☆14Updated 5 years ago
- Some code for tutorials following https://gym.openai.com/docs/rl☆14Updated 8 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 7 years ago
- TensorFlow A2C to solve Acrobot, with synchronized parallel environments☆35Updated 7 years ago
- Paper notes for my PhD on Machine Learning (mostly focused on Reinforcement Learning)☆17Updated 5 years ago
- Implementation of various Reinforcement Learning Algorithms☆27Updated 7 years ago
- ☆14Updated 8 months ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 6 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago
- Some example scripts in pytorch☆27Updated last month
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- A collection of notebooks aiding the understanding of machine-learning papers.☆10Updated 4 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 6 years ago
- Codebase of Santara et. al., RAIL: Risk Averse Imitation Learning, Published in AAMAS 2018☆15Updated 3 years ago
- [ICML-18] Codes for the custom games we built to compare RL agents with humans☆65Updated 6 years ago
- Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"☆19Updated 6 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago
- Material for MLT Reinforcement Learning workshops and study sessions☆51Updated 5 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆43Updated 10 years ago
- ☆55Updated 2 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago