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Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Repository for Open Source Reinforcement Learning Framework JORLDY
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Quantum Multi-agent Reinforcement Learning (QMARL)
Tensorflow 2.0 Reinforcement Learning
An educational resource to help anyone learn deep reinforcement learning.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
Collection of reinforcement learning algorithms
road-map & paper review for Reinforcement Learning
텐서플로우2로 구현한 트랜스포머 챗봇 구현체 (TensorFlow implementation of 'Attention Is All You Need')
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Repo for the multi-agent PressurePlate environment
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Python Multi-Agent Reinforcement Learning framework
StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX