Tetris-deep-Q-learning-pytorch VS tetris

Compare Tetris-deep-Q-learning-pytorch vs tetris and see what are their differences.

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Tetris-deep-Q-learning-pytorch tetris
2 1
445 74
- -
1.2 0.0
about 1 year ago almost 7 years ago
Python Assembly
MIT License -
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Tetris-deep-Q-learning-pytorch

Posts with mentions or reviews of Tetris-deep-Q-learning-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-24.

tetris

Posts with mentions or reviews of tetris. We have used some of these posts to build our list of alternatives and similar projects.
  • Tetris first intro sequence (Falling blocks) loading and instantly unloading.
    1 project | /r/EmuDev | 1 Apr 2021
    I have a Gameboy with a fully implemented cpu and an incomplete gpu. The gpu updates the LCDC Y correctly ( FF44 ), and thats about all it does. I have a function to render the background map that you see in the video. When tetris loads the first falling blocks sequence (PC = 0x13ac) (https://github.com/osnr/tetris/blob/master/tetris.asm ctrl+f "falling blocks") into vram succesfully, it then removes it and replaces it with the title screen again.

What are some alternatives?

When comparing Tetris-deep-Q-learning-pytorch and tetris you can also consider the following projects:

deep-q-learning - Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

ASMTRIS - fun with x86 asm

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.

tritris - A redirect to tritris

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

JS-Beautifier - Beautifier for javascript

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