This is JAX implementation of Book of Foundations of Reinforcement Learning with Applications in Finance by Ashwin Rao & Tikhon Jelvis
-
Updated
Jun 9, 2024 - Python
This is JAX implementation of Book of Foundations of Reinforcement Learning with Applications in Finance by Ashwin Rao & Tikhon Jelvis
This package provides ROS support for Stable Baselines3. It allows you to train robotics RL agents in the real world and simulations using ROS and SB3.
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN
Reinforcement learning algorithms
Twin Delayed DDPG
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Reinforcement Learning Agents in .NET
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
OpenDILab Decision AI Engine
LLMTechSite, 专注于通用人工智能领域的技术生态。
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Reinforcement Learning based Artificial Pancreas Systems for Controlling Blood Glucose in Type 1 Diabetes.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Multi-Shot Approximation of Discounted Cost MDPs
Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
Really Fast End-to-End Jax RL Implementations
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
A 15-puzzle solver using Reinforcement Learning in C++
Library for reinforcement learning with c++
Add a description, image, and links to the reinforcement-learning-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the reinforcement-learning-algorithms topic, visit your repo's landing page and select "manage topics."