#计算机科学#Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Stock Trading Bot using Deep Q-Learning
#学习与技能提升#A curated list of Monte Carlo tree search papers with implementations.
A PyTorch library for building deep reinforcement learning agents.
#计算机科学#CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Deep Q-learning for playing flappy bird game
Deep Q-learning for playing tetris game
#计算机科学#RAD: Reinforcement Learning with Augmented Data
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
A Deep Reinforcement Learning Framework for Stock Market Trading
Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.
#计算机科学#Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
#计算机科学#SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
#计算机科学#Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
Using deep reinforcement learning to tackle the game 2048.
#计算机科学#Repository for CAADRIA19 Workshop: "WS.4 Deep Reinforcement Learning in Grasshopper".