pomdp-baselines
autonomous-learning-library
| pomdp-baselines | autonomous-learning-library | |
|---|---|---|
| 5 | 2 | |
| 275 | 639 | |
| - | - | |
| 4.3 | 7.6 | |
| 7 months ago | about 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
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pomdp-baselines
- Best recurrent RL library?
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In Latest Machine Learning Research, A Group at CMU Release a Simple and Efficient Implementation of Recurrent Model-Free Reinforcement Learning (RL) for Future Work to Use as a Baseline for POMDP Algorithms
Continue reading| Check out the paper, github link, project and reference article.
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[R] Recurrent Model-Free RL is a Strong Baseline for Many POMDPs
Code for https://arxiv.org/abs/2110.05038 found: https://github.com/twni2016/pomdp-baselines
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?
tianshou - An elegant PyTorch deep reinforcement learning library.
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).
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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.
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
learning-to-drive-in-5-minutes - Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Tetris-deep-Q-learning-pytorch - Deep Q-learning for playing tetris game
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT
Meta-SAC - Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020