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Feb 7, 2020 - Jupyter Notebook
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deep-q-learning
Here are 164 public repositories matching this topic...
Implementations from the free course Deep Reinforcement Learning with Tensorflow
qlearning
deep-learning
tensorflow
deep-reinforcement-learning
tensorflow-tutorials
deep-q-network
actor-critic
deep-q-learning
ppo
a2c
Deep Q-learning for playing flappy bird game
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Dec 9, 2019 - Python
A curated list of Monte Carlo tree search papers with implementations.
learning
machine-learning
reinforcement-learning
deep-learning
monte-carlo
machine-learning-algorithms
q-learning
policy-gradient
reinforcement-learning-algorithms
rl
tree-search
atari
policy-evaluation
monte-carlo-tree-search
deep-q-learning
reinforcement-learning-agent
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May 11, 2020 - Python
Open
requirement.txt
titulebolide
commented
Mar 31, 2020
Hey! Great work, that could be a great example in ML courses.
It would maybe benefit from having a pip requirement.txt files that would automatize the install:
Pillow==7.0.0
opencv-python==4.2.0.32
torch==1.4.0
numpy==1.18.2
matplotlib==3.0.3and the installation would sum up to:
python3 -m pip install -r requirement.txtRAD: Reinforcement Learning with Augmented Data
deep-neural-networks
reinforcement-learning
deep-learning
deep-reinforcement-learning
rad
deep-learning-algorithms
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sac
deep-q-learning
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model-free
off-policy
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soft-actor-critic
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mujoc
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May 11, 2020 - Jupyter Notebook
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
deep-neural-networks
reinforcement-learning
deep-learning
curl
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deep-q-learning
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contrastive-loss
off-policy
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model-free-rl
contrastive-learning
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Apr 15, 2020 - Python
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
reinforcement-learning
neural-network
deep-reinforcement-learning
q-learning
convolutional-neural-networks
deep-q-network
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2048-game
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Sep 19, 2018 - Jupyter Notebook
Stock Trading Bot using Deep Q-Learning
reinforcement-learning
trading-bot
q-learning
stock-price-prediction
trading-algorithms
deep-q-learning
ai-agents
stock-trading
stock-trading-bot
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Mar 2, 2020 - Jupyter Notebook
Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.
python
reinforcement-learning
tensorflow
self-driving-car
convolutional-neural-networks
deep-q-learning
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Feb 17, 2019 - Python
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
tensorflow
deep-reinforcement-learning
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a3c
vizdoom
curiosity
actor-critic
deep-q-learning
dueling-dqn
ppo
curiosity-driven
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Mar 20, 2019 - Python
machine-learning
reinforcement-learning
deep-learning
deep-reinforcement-learning
lstm
dqn
policy-gradient
deep-q-network
ddpg
hierarchical-reinforcement-learning
actor-critic
reptile
deep-q-learning
meta-learning
a2c
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Jun 8, 2019 - Jupyter Notebook
Using deep reinforcement learning to tackle the game 2048.
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May 24, 2020 - Python
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
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Jan 14, 2020 - Python
Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
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Sep 2, 2018 - Python
A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning
python
reinforcement-learning
neural-network
tensorflow
neat
q-learning
neuroevolution
artificial-intelligence
pacman
dqn
deep-q-learning
neat-python
dopamine
tensorflow-rl
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Apr 1, 2019 - Python
My internship project in 𝖢𝖠𝖲𝖨𝖠. 🤗
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Feb 7, 2019 - Python
A method to train DRL model with Tensorflow and Bizhawk.
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Nov 12, 2019 - Lua
doctorcorral
commented
Mar 27, 2019
This function is important to check if a proposed action can be performed in an environment.
A tensorflow implementation of hindsight experience replay
python
reinforcement-learning
tensorflow
jupyter-notebook
deep-q-learning
hindsight-experience-replay
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Apr 19, 2018 - Jupyter Notebook
Repository for CAADRIA19 Workshop: "WS.4 Deep Reinforcement Learning in Grasshopper".
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May 11, 2019 - Python
Simulation of a self-driving car game using a Deep Q Learning AI
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Oct 15, 2017 - Python
Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow
machine-learning
reinforcement-learning
qlearning
deep-learning
robotics
tensorflow
machine-learning-algorithms
keras
deep-reinforcement-learning
openai-gym
robots
openai
policy-gradient
reinforcement-learning-algorithms
rl
machinelearning
ddpg
deep-q-learning
trpo
ppo
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Aug 16, 2019 - Python
AI Bot for playing famous Google Chrome Offline Game T-Rex Dino -Runner.
deep-reinforcement-learning
game-bot
deep-q-learning
t-rex-runner
selenium-python
pytorch-implementation
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Nov 6, 2019 - Python
deep-learning
deep-q-learning
proximal-policy-optimization
ppo
advantage-actor-critic
a2c
pysc2
pysc2-mini-games
reinfrocement-learning
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Jul 14, 2018 - Python
Exercices and assignments from the Udacity deep reinforcement learning nanodegree
reinforcement-learning
cpp
deep-reinforcement-learning
openai-gym
python3
pytorch
rl
deep-q-learning
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Dec 15, 2018 - Jupyter Notebook
Self driving car with deep Q-learning implemented in pytorch
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Oct 21, 2017 - Python
DDQN inplementation on PLE FlappyBird environment in PyTorch.
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Apr 5, 2018 - Python
A deep reinforcement learning approach to ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Learning, Decision Making, and Control
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Feb 14, 2020 - TeX
Algernon -- The curious mouse-pointer with no rewards
machine-learning
keras
artificial-intelligence
unsupervised-learning
deep-q-learning
tensorforce
mouse-pointer-control
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Mar 23, 2019 - Python
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Hi, I am trying to use the PPO algorithm; however, it's not clear how to construct the stochastic policy. Should I use the Gaussian policy network?
Cool library by the way; I like the modularity!