learning-to-drive-in-5-minutes
autonomous-learning-library
| learning-to-drive-in-5-minutes | autonomous-learning-library | |
|---|---|---|
| 1 | 2 | |
| 277 | 639 | |
| - | - | |
| 0.0 | 7.6 | |
| about 2 years ago | about 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
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learning-to-drive-in-5-minutes
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TIL that in 1986 an astronomer trying to trace a 75 cent computer time discrepancy for 10 months eventually found a German hacker selling defense secrets to the KGB
You might already be using it, but if not I'd recommend checking out /u/araffin2 's GitHub repo https://github.com/araffin/learning-to-drive-in-5-minutes
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?
stable-baselines3-contrib - Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
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).
stable-baselines - Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
rl-trained-agents - A collection of pre-trained RL agents using Stable Baselines3
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.
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
turtlebot3_ddpg_collision_avoidance - Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
skrl - Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym
deep_control - Deep Reinforcement Learning for Continuous Control in PyTorch