Best Agents in a Simplified Environment called "Naive Bandori". Agents with or without audio inputs are both available.
-
Updated
Jun 5, 2020 - Python
Best Agents in a Simplified Environment called "Naive Bandori". Agents with or without audio inputs are both available.
Automatic code generator for training Reinforcement Learning policies
Adversarial attacks on Deep Reinforcement Learning (RL)
Multi-Agent DRL task analysed as a part of a course project for CS698R-21, IITK
OpenAI Gym environment solutions using Deep Reinforcement Learning.
Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.
基于Tianshou框架的强化学习DRL实验探索(在gym,pettingzoo,atari等环境)
Robo-Chess, a comprehensive repository dedicated to developing chess engines using a variety of Deep Reinforcement Learning techniques
De novo cyclic protein polypeptide design using reinforcement learning.
Add a description, image, and links to the tianshou topic page so that developers can more easily learn about it.
To associate your repository with the tianshou topic, visit your repo's landing page and select "manage topics."