ai-traineree
autonomous-learning-library
| ai-traineree | autonomous-learning-library | |
|---|---|---|
| 1 | 2 | |
| 24 | 639 | |
| - | - | |
| 0.0 | 7.6 | |
| about 2 years ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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ai-traineree
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Rainbow Library
Maybe you'll find this easy to use https://github.com/laszukdawid/ai-traineree
autonomous-learning-library
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What's the best "Non-Black Box" framework for SOTA algorithms?
I find Autonomous Learning Library well-designed and clean, despite its modularity to some degree.
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Where do people get their algorithm implementations from?
I very strongly recommend the autonomous learning library: https://github.com/cpnota/autonomous-learning-library
What are some alternatives?
dopamine - Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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).
action-branching-agents - (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
DQN-Atari - Deep Q-Learning (DQN) implementation for Atari pong.
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.
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
learning-to-drive-in-5-minutes - Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
Tetris-deep-Q-learning-pytorch - Deep Q-learning for playing tetris game
Meta-SAC - Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
Fleet-AI - Using Reinforcement Learning to play Battleship