FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
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FinRL®: Financial Reinforcement Learning. 🔥
Unified framework for robot learning with multi-physics/renderer support
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Massively Parallel Deep Reinforcement Learning. 🔥
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Python Multi-Agent Reinforcement Learning framework
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
This is the official implementation of Multi-Agent PPO (MAPPO).
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Python application to setup and run streaming (contextual) bandit experiments.