pythonpaperrlfuturesafter-work
Introducing Deep Reinforcement Learning for Trading for after-work quants
Zhang, Zohren and Roberts (2019) map TSMOM features to positions with DQN, PG and A2C, plus volatility scaling, on 50 liquid futures 2011–2019. Plain-language intro. Not investment advice.