pytorch-learn-reinforcement-learning
Tetris-deep-Q-learning-pytorch
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pytorch-learn-reinforcement-learning | Tetris-deep-Q-learning-pytorch | |
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3 | 2 | |
139 | 445 | |
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0.0 | 1.2 | |
almost 3 years ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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pytorch-learn-reinforcement-learning
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?
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
deep-q-learning - Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
tianshou - An elegant PyTorch deep reinforcement learning library.
tritris - A redirect to tritris
6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
wandb - š„ A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Amortized-SVGD-GAN - Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
JS-Beautifier - Beautifier for javascript
nes-torch - Minimal PyTorch Library for Natural Evolution Strategies
tetris - :memo: Disassembly of Tetris for Game Boy.
pytorch-GAT - My implementation of the original GAT paper (VeliÄkoviÄ et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
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).