snakeAI VS pytorch-learn-reinforcement-learning

Compare snakeAI vs pytorch-learn-reinforcement-learning and see what are their differences.

snakeAI

testing MLP, DQN, PPO, SAC, policy-gradient by snake (by WorldEditor50)
Dqn policy-gradient snakeai reinforcement-learning Ppo Lstm gru
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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)
Python Deep Learning Jupyter Pytorch rl reinforcement-learning reinforcement-learning-algorithms Ppo policy-gradient Dqn pytorch-implementation deep-q-network pytorch-dqn pytorch-policy-gradient pytorch-ppo
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snakeAI pytorch-learn-reinforcement-learning
1 3
10 139
- -
5.5 0.0
2 months ago almost 3 years ago
C++ Python
- MIT License
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snakeAI

Posts with mentions or reviews of snakeAI. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT

Tetris-deep-Q-learning-pytorch - Deep Q-learning for playing tetris game

torchRL - TorchRL is a C++ reinforcement library using PyTorch C++ backend LibTorch

tianshou - An elegant PyTorch deep reinforcement learning library.

6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

Amortized-SVGD-GAN - Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

nes-torch - Minimal PyTorch Library for Natural Evolution Strategies

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!

Reinforcement_Learning - RL Algorithms with examples in Python / Pytorch / Unity ML agents

snakeAI vs Reinforcement-Learning pytorch-learn-reinforcement-learning vs Super-mario-bros-PPO-pytorch snakeAI vs recurrent-ppo-truncated-bptt pytorch-learn-reinforcement-learning vs Tetris-deep-Q-learning-pytorch snakeAI vs torchRL pytorch-learn-reinforcement-learning vs tianshou snakeAI vs tianshou pytorch-learn-reinforcement-learning vs 6DRepNet pytorch-learn-reinforcement-learning vs Amortized-SVGD-GAN pytorch-learn-reinforcement-learning vs nes-torch pytorch-learn-reinforcement-learning vs pytorch-GAT pytorch-learn-reinforcement-learning vs Reinforcement_Learning