policy-gradient topic

Structural implementation of RL key algorithms

medipixel

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

salesforce

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

LiamConnell

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

keon

Highly Modular and Scalable Reinforcement Learning

activatedgeek

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global R...

hsvgbkhgbv

Combining deep learning and reinforcement learning.

arnomoonens

Scitator

Reinforcing Your Learning of Reinforcement Learning

Urinx

Personal experiments on Reinforcement Learning

TheoLvs