transedward / Pytorch Dqn
Licence: mit
Deep Q-Learning Network in pytorch (not actively maintained)
Stars: ✭ 282
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Pytorch Dqn
Accel Brain Code
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 are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Stars: ✭ 166 (-41.13%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Reinforcement Learning
Minimal and Clean Reinforcement Learning Examples
Stars: ✭ 2,863 (+915.25%)
Mutual labels: deep-reinforcement-learning, deep-q-network
2048 Deep Reinforcement Learning
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
Stars: ✭ 169 (-40.07%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Deep Q Learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Stars: ✭ 1,013 (+259.22%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Rad
RAD: Reinforcement Learning with Augmented Data
Stars: ✭ 268 (-4.96%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Rl Course Experiments
Stars: ✭ 73 (-74.11%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Pytorch Drl
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (-17.38%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Deep Trading Agent
Deep Reinforcement Learning based Trading Agent for Bitcoin
Stars: ✭ 573 (+103.19%)
Mutual labels: deep-reinforcement-learning, deep-q-network
good robot
"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
Stars: ✭ 84 (-70.21%)
Mutual labels: deep-reinforcement-learning, deep-q-network
DQN-using-PyTorch-and-ML-Agents
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
Stars: ✭ 81 (-71.28%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Deeprl Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Stars: ✭ 748 (+165.25%)
Mutual labels: deep-reinforcement-learning, deep-q-network
rl implementations
No description or website provided.
Stars: ✭ 40 (-85.82%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Pysc2 Examples
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Stars: ✭ 722 (+156.03%)
Mutual labels: deep-reinforcement-learning, deep-q-network
reinforce-js
[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
Stars: ✭ 20 (-92.91%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Hands On Reinforcement Learning With Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Stars: ✭ 640 (+126.95%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Reinforcementlearning.jl
A reinforcement learning package for Julia
Stars: ✭ 192 (-31.91%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Stars: ✭ 346 (+22.7%)
Mutual labels: deep-reinforcement-learning, deep-q-network
Tensorflow Reinforce
Implementations of Reinforcement Learning Models in Tensorflow
Stars: ✭ 480 (+70.21%)
Mutual labels: deep-reinforcement-learning, deep-q-network
king-pong
Deep Reinforcement Learning Pong Agent, King Pong, he's the best
Stars: ✭ 23 (-91.84%)
Mutual labels: deep-reinforcement-learning, deep-q-network
dqn-lambda
NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
Stars: ✭ 20 (-92.91%)
Mutual labels: deep-reinforcement-learning, deep-q-network
pytoch-dqn
This project is pytorch implementation of Human-level control through deep reinforcement learning and I also plan to implement the following ones:
Credit
This project reuses most of the code in https://github.com/berkeleydeeprlcourse/homework/tree/master/hw3
Requirements
Usage
To train a model:
$ python main.py
# To train the model using ram not raw images, helpful for testing
$ python ram.py
The model is defined in dqn_model.py
The algorithm is defined in dqn_learn.py
The running script and hyper-parameters are defined in main.py
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].