pytorch-learn-reinforcement-learning VS Tetris-deep-Q-learning-pytorch

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

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. (by gordicaleksa)
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pytorch-learn-reinforcement-learning Tetris-deep-Q-learning-pytorch
3 2
139 445
- -
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

Posts with mentions or reviews of pytorch-learn-reinforcement-learning. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

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 - šŸ”„ 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 (Veličković 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).