FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
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FinRL®: Financial Reinforcement Learning. 🔥
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A collection of environments for autonomous driving and tactical decision-making tasks
Reinforcement Learning environments based on the 1993 game Doom :godmode:
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Computational framework for reinforcement learning in traffic control
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
Maze Applied Reinforcement Learning Framework