deep-RL-trading
minimalRL
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| deep-RL-trading | minimalRL | |
|---|---|---|
| 14 | 5 | |
| 342 | 2,725 | |
| - | - | |
| 0.0 | 1.6 | |
| almost 3 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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deep-RL-trading
- deep-RL-trading: trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning - star count:301.0
- deep-RL-trading: trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning - star count:272.0
minimalRL
- Does anyone know good python sources hardcoded of RL?
-
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
What are some alternatives?
muzero-general - MuZero
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
TradingView-Machine-Learning-GUI - Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.
Pytorch-PCGrad - Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
rlpyt - Reinforcement Learning in PyTorch
pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
deep-q-learning - Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents