Deep Reinforcement Learning for de-novo Drug Design
- deeplearning
- reinforcement-learning
- cheminformatics
- molecular-modeling
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Deep Reinforcement Learning for de-novo Drug Design
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
Official repository for the paper “RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution”
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Maze Applied Reinforcement Learning Framework
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
A high-performance, general-purpose toolkit for versatile robotic tasks.
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
Trading environnement for RL agents, backtesting and training.
Building a population of models that trade crypto and mutate iteratively
Safe Bayesian Optimization
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
Example of reinforcement learning using q-learning to teach an AI to play a game in Rub
Workbench for practical machine learning in Ruby.
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).