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

Reinforcement Learning for Practitioners.

TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets

Trade using DRL algorithms on tensorflow2 and tf-agents

Comparison of different Deep Reinforcement Learning (DRL) Frameworks. This repository includes "tf-agents", "RLlib" and will soon support "acme" as well.

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

Tackling Atari 2600 game Pong with Reinforcement Learning by utilizing DQN and TF-Agents

Reinforcement learning (RL) Notes and Notebooks.

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

Reinforcement Learning applied to Object Avoidance

training of a superhuman level Reinforcement Learning agent to play the Breakout Atari game.

Reinforcement Learning (DQN, PPO, MCTS+DQN) for the classical game Bomberman.

[2023] Reinforcement learning basics

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

Reinforcement Learning with TF Agents

Deep reinforcement learning agents for the Robotini racing simulator

Global Markets Options Pricing

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