deep-q-learning
Tetris-deep-Q-learning-pytorch
deep-q-learning | Tetris-deep-Q-learning-pytorch | |
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1 | 2 | |
1,209 | 445 | |
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0.0 | 1.2 | |
over 3 years ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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deep-q-learning
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Deep Q Network knapsack problem
So go online on GitHub and find a DQN implementation that has options for using a feedforward net as input (instead of conv net as your input isnโt pixel based). Any remotely modular piece of code will take in state space size and action space as parameters to their NN. This is essentially setting input layer to be equal to state space (so 4) and output layer to be action space (201). (https://github.com/keon/deep-q-learning) this repo seems helpful i a cursory glance
Tetris-deep-Q-learning-pytorch
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Reinforcement Learning deploy in Modern Tetris project
if the former, this guy trained a DQN agent to play his simple implementation of the game. you can find the code for the game here and make any modifications you need
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AI agent plays Contra
https://github.com/uvipen/Tetris-deep-Q-learning-pytorch For tetris you coult take a look at this one :)
What are some alternatives?
deep-RL-trading - playing idealized trading games with deep reinforcement learning
pytorch-learn-reinforcement-learning - 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. I've additionally included playground.py for learning more about OpenAI gym, etc.
chainerrl - ChainerRL is a deep reinforcement learning library built on top of Chainer.
tritris - A redirect to tritris
DeepRL-TensorFlow2 - ๐ Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
wandb - ๐ฅ A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
JS-Beautifier - Beautifier for javascript
tetris - :memo: Disassembly of Tetris for Game Boy.
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
autonomous-learning-library - A PyTorch library for building deep reinforcement learning agents.
afeka-mtg-detector