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
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
A curated list of Monte Carlo tree search papers with implementations.
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Arnold - DOOM Agent
DEEp Reinforcement learning framework
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
playing idealized trading games with deep reinforcement learning
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
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 deep learning library to provide algs in pure Numpy or Tensorflow.
An environment to high-frequency trading agents under reinforcement learning
A framework for multi-agent reinforcement learning.
A deep reinforcement learning bot that plays tetris
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
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
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