Ftam's repositories
seq2seq_with_deep_attention
Sequence to sequence (seq2seq) using RNN with attention mechanism in pytorch
action-branching-agents
[AAAI 2018] TensorFlow implementation of Action Branching Architectures for Deep Reinforcement Learning.
data_set_maniplulator
Set of scripts to manipulate dataset index files
Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
DRL-1
Repository for codes of 'Deep Reinforcement Learning'
environment
Neural MMO - A Massively Multiagent Environment for Artificial Intelligence Research
Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
multi-agent-deep-rl
Deep Reinforcement Learning now with more agents! \o/
network_Folw_Optimization
Building routing trees toward single or multiple gateways.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
VizDoom-Keras-RL
Reinforcement Learning in Keras on VizDoom