FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
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FinRL®: Financial Reinforcement Learning. 🔥
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.
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
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 ...
Maze Applied Reinforcement Learning Framework