Reinforcement Learning with TF Agents

A deep learning model based on reinforcement learning to construct pathlet dictionaries.

Deep reinforcement learning agents for the Robotini racing simulator

The program uses the DDPG algorithm and tf_agents library to train an agent in a custom environment called "TargetSeeker"

Global Markets Options Pricing

Reinforcement Learning applied to Object Avoidance

Simple world models lead to good abstractions, Google Cerebra internship 2020/master thesis at EPFL LCN 2021 ⬛◼️▪️🔦

A TensorFlow based DQN agent who moves in a small grid world

Trade using DRL algorithms on tensorflow2 and tf-agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.