Showing 41-59 of 59 projects
Free reinforcement learning course that takes developers from zero to pro using Jupyter Notebooks.
A curated list of Diffusion Model in RL resources for developers working with AI tools.
A curated list of resources for deep reinforcement learning and the future of AI.
This TensorFlow code implements a curiosity-driven exploration algorithm for deep reinforcement learning.
Softlearning is a powerful reinforcement learning framework for training maximum entropy policies in continuous domains.
An open-source AI platform for training and deploying AI agents for StarCraft II, with distributed training and grandmaster-level performance.
Modular deep reinforcement learning framework in PyTorch for building AI-powered applications.
PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.
Minimal Deep Q Learning (DQN & DDQN) implementations in Python using the Keras library for reinforcement learning.
Replicable multi-agent reinforcement learning library with support for PyTorch, Ray, and RLlib.
PyTorch implementation of Deep Reinforcement Learning algorithms like TRPO, PPO, A2C, and GAIL.
A deep reinforcement learning project for mobile robot navigation in a Gazebo simulator using the ROS framework.
A deep reinforcement learning library for training robotic agents to plan pushing and grasping actions for manipulation tasks.
High quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
OmniSafe is an infrastructural framework for accelerating safe reinforcement learning research.
A Python library that provides a Reinforcement Learning environment using the PyGame game engine.
Scalable, event-driven, deep-learning-friendly backtesting library for algorithmic trading strategies
Fast and efficient Jax-based reinforcement learning implementations for developers building AI-powered applications.
This repository provides a comprehensive guide and implementation for reinforcement learning algorithms in Python.
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