Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Updated
Mar 31, 2024 - Python
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Minimal and Clean Reinforcement Learning Examples
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Deep Reinforcement Learning based Trading Agent for Bitcoin
StarCraft II - pysc2 Deep Reinforcement Learning Examples
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Deep Q-learning for playing flappy bird game
Deep Q-learning for playing tetris game
Implementations of Reinforcement Learning Models in Tensorflow
Deep Q-Learning Network in pytorch (not actively maintained)
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.
Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
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