[2023] Reinforcement learning basics

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

Implementing Reinforcement Learning to develop an Agent that teaches itself to play the DemonAttack Atari Game. The Agent was developed using tensorflow, TF-Agents and OpenAI Gym Google Cloud Platform.

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.

Reinforcement Learning applied to Object Avoidance

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 ⬛◼️▪️🔦

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

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

Trade using DRL algorithms on tensorflow2 and tf-agents

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

Reinforcement Learning for Practitioners.