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Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
a3c
dqn
ppo
ddpg
sarsa
tutorial
double-dqn
q-learning
dueling-dqn
actor-critic
sarsa-lambda
deep-q-network
policy-gradient
machine-learning
prioritized-replay
tensorflow-tutorials
reinforcement-learning
proximal-policy-optimization
deep-deterministic-policy-gradient
asynchronous-advantage-actor-critic
Created
2017-05-06
114 commits to master branch, last one 2 years ago
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Created
2017-05-10
46 commits to master branch, last one 4 years ago
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Created
2018-03-25
166 commits to master branch, last one about a year ago
Minimal and Clean Reinforcement Learning Examples
Created
2017-01-13
264 commits to master branch, last one 7 years ago
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
This repository has been archived
(exclude archived)
Created
2017-02-06
49 commits to master branch, last one 4 years ago
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
a2c
gae
ppo
python3
pytorch
rainbow
double-dqn
dueling-dqn
actor-critic
deep-q-network
noisy-networks
categorical-dqn
deeprl-tutorials
multi-step-learning
quantile-regression
advantage-actor-critic
reinforcement-learning
deep-recurrent-q-network
deep-reinforcement-learning
prioritized-experience-replay
Created
2018-05-31
88 commits to master branch, last one 5 years ago
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
ppo
drqn
trpo
sarsa
double-dqn
openai-gym
q-learning
dueling-dqn
monte-carlo
deep-q-network
policy-gradient
policy-gradients
reinforcement-learning
deep-learning-algorithms
deep-recurrent-q-network
markov-decision-processes
deep-reinforcement-learning
hindsight-experience-replay
deep-deterministic-policy-gradient
asynchronous-advantage-actor-critic
Created
2018-06-11
44 commits to master branch, last one 4 years ago
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Created
2017-08-19
190 commits to master branch, last one 4 years ago
A reinforcement learning package for Julia
Created
2018-06-07
1,594 commits to main branch, last one 4 days ago
Deep Q-learning for playing flappy bird game
Created
2019-04-15
6 commits to master branch, last one 3 years ago
Deep Q-learning for playing tetris game
Created
2020-03-29
10 commits to master branch, last one about a year ago
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Created
2021-05-02
10 commits to main branch, last one 11 months ago
RAD: Reinforcement Learning with Augmented Data
Created
2020-04-09
23 commits to master branch, last one 3 years ago
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics...
lstm
q-learning
auto-encoder
deep-learning
deep-q-network
quantum-annealing
transfer-learning
energy-based-model
quantum-monte-carlo
simulated-annealing
reinforcement-learning
automatic-summarization
self-supervised-learning
semi-supervised-learning
combinatorial-optimization
deep-reinforcement-learning
restricted-boltzmann-machine
generative-adversarial-network
multi-agent-reinforcement-learning
Created
2017-09-15
1,863 commits to master branch, last one 12 months ago
Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress
Created
2017-02-21
830 commits to master branch, last one about a year ago
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems...
Created
2021-04-06
53 commits to main branch, last one 3 years ago
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Created
2020-07-02
7 commits to master branch, last one 3 years ago
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
Created
2019-07-25
2,308 commits to master branch, last one 2 years ago
Deep Reinforcement Learning For Trading
Created
2019-10-19
87 commits to master branch, last one about a year ago
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
dqn
mdp
mec
d3qn
ddqn
qeco
dueling-ddqn
lstm-networks
deep-q-network
edge-computing
qoe-measurements
network-performance
resource-management
network-optimization
double-deep-q-network
mobile-edge-computing
computation-offloading
performance-evaluation
markov-decision-processes
deep-reinforcement-learning
Created
2023-07-31
103 commits to main branch, last one 14 days ago
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
Created
2019-06-29
64 commits to master branch, last one 2 years ago
Pytorch implementation of distributed deep reinforcement learning
Created
2018-10-25
137 commits to master branch, last one 2 years ago
A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.
Created
2020-02-07
110 commits to master branch, last one 2 years ago
Deep Convolutional Q learning based Self learning implementation for Subway Surfers game
Created
2019-09-11
4 commits to master branch, last one 4 years ago
Reinforcement Learning Short Course
offline-rl
q-learning
ridesharing
deep-q-network
model-based-rl
policy-gradient
value-iteration
policy-iteration
fitted-q-iteration
dynamic-programming
monte-carlo-methods
policy-based-method
off-policy-evaluation
reinforcement-learning
markov-decision-processes
order-dispatch-recommendation
temporal-differencing-learning
Created
2023-02-07
90 commits to main branch, last one 5 days ago
Deep reinforcement learning-based replacement strategy for content caching.
Created
2020-01-05
34 commits to master branch, last one 2 years ago