A community-maintained Python framework for creating mathematical animations.

My personal website

multi-agent deep reinforcement learning for networked system control.

A collection of MARL benchmarks based on TorchRL

HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging (Paper: https://ala2021.vub.ac.be/papers/ALA2021_paper_35.pdf)

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

Multi-Agent Reinforcement Learning (MARL) papers

On the pitfalls of measuring emergent communication

Contains the Code for the RL algorithms and environments of the paper "Bidirectional Emergent Language in Situated Environments"

An implementation of Emergence of Grounded Compositional Language in Multi-Agent Populations by Igor Mordatch and Pieter Abbeel

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

Multi-Agent Reinforcement Learning (MARL) papers with code

Solving POMDP using Recurrent networks

Predictive coding networks for temporal prediction

Public release of GLean as published in Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network (https://www.mdpi.com/1099-4300/22/5/564)

Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.

Deep active inference agents using Monte-Carlo methods

PyHGF: A neural network library for predictive coding

Code for the paper: Combining Active Inference and Hierarchical Predictive Coding: A Tutorial Review and Case Study

This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation."