Tetris-deep-Q-learning-pytorch VS autonomous-learning-library

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

Tetris-deep-Q-learning-pytorch

Deep Q-learning for playing tetris game (by uvipen)
Pytorch reinforcement-learning deep-q-learning cv2 deep-q-network Tetris
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autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents. (by cpnota)
reinforcement-learning reinforcement-learning-algorithms deep-reinforcement-learning soft-actor-critic proximal-policy-optimization deep-q-learning advantage-actor-critic deep-deterministic-policy-gradient sac A2c Ddpg Ppo Dqn dqn-pytorch
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Tetris-deep-Q-learning-pytorch autonomous-learning-library
2 2
445 639
- -
1.2 7.6
about 1 year ago about 2 months ago
Python Python
MIT License 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.

autonomous-learning-library

Posts with mentions or reviews of autonomous-learning-library. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-17.

What are some alternatives?

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

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

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).

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.

PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

tritris - A redirect to tritris

deep_rl_zoo - A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

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

learning-to-drive-in-5-minutes - Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

JS-Beautifier - Beautifier for javascript

Meta-SAC - Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

tetris - :memo: Disassembly of Tetris for Game Boy.

Fleet-AI - Using Reinforcement Learning to play Battleship

Tetris-deep-Q-learning-pytorch vs deep-q-learning autonomous-learning-library vs pytorch-a2c-ppo-acktr-gail Tetris-deep-Q-learning-pytorch vs pytorch-learn-reinforcement-learning autonomous-learning-library vs PPO-PyTorch Tetris-deep-Q-learning-pytorch vs tritris autonomous-learning-library vs deep_rl_zoo Tetris-deep-Q-learning-pytorch vs wandb autonomous-learning-library vs learning-to-drive-in-5-minutes Tetris-deep-Q-learning-pytorch vs JS-Beautifier autonomous-learning-library vs Meta-SAC Tetris-deep-Q-learning-pytorch vs tetris autonomous-learning-library vs Fleet-AI