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Building AI Trading Systems
Lessons learned building a profitable algorithmic trading system using Reinforcement Learning techniques.
trading finance machine-learning algorithmic-trading
Rlx: A modular Deep RL library for research
"rlx" is a Deep RL library written on top of PyTorch & built for educational and research purpose.
reinforcement-learning deep-learning article code
NetHack Learning Environment (NLE)
A procedurally-generated grid-world dungeon-crawl game that strikes a great balance between complexity and speed for single-agent RL research.
reinforcement-learning game nethack gym
Automatic Data Augmentation for Generalization in Deep RL
We compare three approaches for automatically finding an appropriate augmentation combined with two novel regularization terms for the policy and value ...
data-augmentation reinforcement-learning kornia pytorch
Plan2Explore: Plan to Explore via Self-Supervised World Models
A self-supervised reinforcement learning agent that tackles task-specific and the sample efficiency challenges.
self-supervised-learning reinforcement-learning plan2explore article
Reinforcement learning is supervised learning on optimized data
In this blog post we discuss a mental model for RL, based on the idea that RL can be viewed as doing supervised learning on the “good data”.
reinforcement-learning supervised-learning optimization dynamic-programming
Deep Reinforcement Learning Amidst Lifelong Non-Stationarity
How can robots learn in changing, open-world environments? We introduce dynamic-parameter MDPs, to capture environments with persistent, unobserved ...
reinforcement-learning non-stationarity off-policy markov-decision-process
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