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

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

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

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

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

[2023] Reinforcement learning basics

Reinforcement Learning with TF Agents

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

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

Deep reinforcement learning agents for the Robotini racing simulator

Global Markets Options Pricing