Reinforcement learning (RL) Notes and Notebooks.
-
Updated
Apr 27, 2020 - Jupyter Notebook
Reinforcement learning (RL) Notes and Notebooks.
Reinforcement Learning applied to Object Avoidance
training of a superhuman level Reinforcement Learning agent to play the Breakout Atari game.
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.
Deep reinforcement learning agents for the Robotini racing simulator
A TensorFlow based DQN agent who moves in a small grid world
Reinforcement Learning for Practitioners.
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.
Comparison of different Deep Reinforcement Learning (DRL) Frameworks. This repository includes "tf-agents", "RLlib" and will soon support "acme" as well.
The program uses the DDPG algorithm and tf_agents library to train an agent in a custom environment called "TargetSeeker"
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
[2023] Reinforcement learning basics
Trade using DRL algorithms on tensorflow2 and tf-agents
A deep learning model based on reinforcement learning to construct pathlet dictionaries.
Global Markets Options Pricing
Simple world models lead to good abstractions, Google Cerebra internship 2020/master thesis at EPFL LCN 2021 ⬛◼️▪️🔦
Add a description, image, and links to the tf-agents topic page so that developers can more easily learn about it.
To associate your repository with the tf-agents topic, visit your repo's landing page and select "manage topics."