Showing 14 of 86 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.
A platform for developing AI bots that play Doom using visual information, designed for reinforcement learning research.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control.
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.
Original DeepMind DQN 3.0 implementation for Atari game reinforcement learning, with community tweaks.
An open-source benchmark suite of continuous control robotic manipulation environments for multi-task and meta reinforcement learning.
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.
A lightweight library providing PyTorch training tools and utilities to simplify and standardize training loops.
An open-source, near photo-realistic 3D simulation platform for training and evaluating embodied AI agents.
A Python library for simulating spiking neural networks (SNNs) using PyTorch, geared towards biologically inspired machine learning.
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