deep-q-learning topic
Deep-Reinforcement-Learning-CS285-Pytorch
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
Reinforcement-Learning-for-Self-Driving-Cars
Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.
Deep-Reinforcement-Learning-applied-to-DOOM
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
left-shift
Using deep reinforcement learning to tackle the game 2048.
OpenAI-GYM-CarRacing-DQN
Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
rl-botics
Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow
Deep-Reinforcement-Learning
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
deep-q-rank
A deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Learning, Decision Making, and Control
Python_MADDPG_SC2LE
My internship project in 𝖢𝖠𝖲𝖨𝖠. 🤗
hindsight_experience_replay
A tensorflow implementation of hindsight experience replay