Reinforcement Learning
Showing 36 of 150 projects
A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.
Open-source robot simulation software integrated with OpenAI Gym for reinforcement learning research.
A toolkit and library for developing, evaluating, and reproducing reinforcement learning algorithms.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control.
A platform for developing AI bots that play Doom using visual information, designed for reinforcement learning research.
A Python toolkit for training reinforcement learning agents and backtesting rule-based algorithms in financial markets.
A deep reinforcement learning framework for financial portfolio management with policy gradient optimization and backtesting tools.
An open-source benchmark suite of continuous control robotic manipulation environments for multi-task and meta reinforcement learning.
Original DeepMind DQN 3.0 implementation for Atari game reinforcement learning, with community tweaks.
An experimentation platform for training and researching automated agents in abstract simulated enterprise network environments using reinforcement learning.
Clean PyTorch implementations of imitation and reward learning algorithms for reinforcement learning.
An open-source, near photo-realistic 3D simulation platform for training and evaluating embodied AI agents.
A lightweight library providing PyTorch training tools and utilities to simplify and standardize training loops.
A Python library for simulating spiking neural networks (SNNs) using PyTorch, geared towards biologically inspired machine learning.
A C++-based high-performance parallel environment execution engine for vectorized reinforcement learning simulations.
A JAX-based library providing reinforcement learning building blocks for implementing agents, supporting both on-policy and off-policy learning.
A repository implementing Deep Reinforcement Learning and Supervised Learning methods with a simulated financial market environment for quantitative trading.
A curated list of awesome links, software libraries, and resources for robotics development.
A flexible modular quadrotor simulator with decoupled rendering (Unity) and physics engines for robotics research.
A modular deep reinforcement learning framework in PyTorch for research and application, featuring ready-to-use algorithms and reproducible experiments.
A computational framework for deep reinforcement learning experiments in traffic microsimulation and control.
OpenAI Gym environments and tools for training a 3D-printed quadruped robot (SpotMicro) using reinforcement learning.
High-performance, end-to-end reinforcement learning implementations fully written in JAX for massive parallelization on GPUs.
A modular Python library for Reinforcement Learning with support for PyTorch, JAX, NVIDIA Warp, and multiple environment interfaces.
A scalable, event-driven backtesting library for reinforcement learning in algorithmic trading, built on Backtrader with OpenAI Gym API.
A high-performance, portable deep reinforcement learning library for continuous control, optimized for speed across CPUs, GPUs, and microcontrollers.
A flexible Python framework for developing, training, and evaluating conversational AI agents in single or multi-agent environments.
A scalable, hardware-accelerated neuroevolution toolkit built on JAX for parallel training across TPUs/GPUs.
A curated collection of research papers on molecular and material design using generative AI and deep learning techniques.
A virtual environment simulator for training embodied AI agents with real-world perception and physics, featuring domain transfer to real robots.
An open-source simulator for experimenting with and advancing self-driving AI, accessible to anyone with a PC.
A CPU and GPU-accelerated machine learning library optimized for high-performance computing.
A curated list of awesome tutorials, blogs, and projects for the CARLA autonomous driving simulator.
A JAX-based library providing accelerated reinforcement learning environments with full compatibility to the classic gym API.
A unified benchmark suite with PyBullet CartPole and Quadrotor environments and symbolic CasADi dynamics for safe learning-based control and reinforcement learning.
CVPR 2015 workshop materials for learning deep learning and computer vision with Torch framework.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.