minimalRL
Youtube-Code-Repository
| minimalRL | Youtube-Code-Repository | |
|---|---|---|
| 5 | 5 | |
| 2,725 | 842 | |
| - | - | |
| 1.6 | 1.6 | |
| about 1 year ago | 10 months ago | |
| Python | Python | |
| MIT License | - |
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minimalRL
- Does anyone know good python sources hardcoded of RL?
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Question about pseudocodes
Did you try minimalRL?
- Rl algorithm implemented
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RL agent for simple games?
This github is great.
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PPO+LSTM Implementation
Maybe this implementation helps: https://github.com/seungeunrho/minimalRL/blob/master/ppo-lstm.py
Youtube-Code-Repository
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Overall loss in PPO, why does it matter?
In Phil tabor's implementation it calculates Actor and Critic loss separately (line 95+) and does not calculate equation 9.
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Intrinsic Curiosity Module Pytorch multithreading cpu unable to fix seeds
I am working on an extension of this implementation https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/ICM of the intrinsic curiosity module. It uses A3C(Actor -critic) as a policy and the ICM is a bolt on module.
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PPO cannot play CartPole ?
A very good performance reference code, which convers in 200 episodes.
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Rl algorithm implemented
Github code - https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/DDPG/tensorflow2/pendulum
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Lunar Lander using Deep Q-Learning
I was wondering why the code looked so familiar, not just the design, but even the syntax and names of functions. I went through these myself when I was learning: Youtube-Code-Repository/ReinforcementLearning/DeepQLearning at master · philtabor/Youtube-Code-Repository (github.com). Its by a YouTuber / Udemy course instructor that goes through the design and coding process from scratch. This is probably mostly lifted straight from that repo. He even has a video on doing the lunar lander example too.
What are some alternatives?
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
Respiratory-Disease-Coughing-Dataset-CNN - A collection of coughing audio files from Coswara, Coughvid, and Virufy as well as generated spectrograms for the use of machine learning
Pytorch-PCGrad - Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
RL-Algorithms - This repository has RL algorithms implemented using python
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
easytorch - EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.
rlpyt - Reinforcement Learning in PyTorch
ppo-implementation-details - The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Quantsbin - Quantitative Finance tools
deep-RL-trading - playing idealized trading games with deep reinforcement learning
lunar-lander