Journey to trying out different libraries for multi-agent system communication
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Updated
Jun 12, 2017 - Python
Journey to trying out different libraries for multi-agent system communication
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
scalable multi-agent reinforcement learning
The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
reproduce some RL or Multi-Agent models
Beer Game implemented as an OpenAI gym environment.
MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning
Fast single unit, double auction market for reinforcement learning
TensorSwarm: A framework for reinforcement learning of robot swarms.
A flexible development platform for Pioneer Multi-Robot Systems (MRS) http://wiki.ros.org/pioneer_mrs
A simple multi-agent system (MAS) where all agents live on a linear torus.
Implementation of many popular AI algorithms to play the game of Pacman such as Minimax, Expectimax and Greedy.
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Code repository for Capacity, Bandwidth, and Compositionality in Emergent Language Learning (AAMAS 2020)
Repository containing the code and explanation of a solution to the Flatland Challenge problem.
Fetch.ai Carpark agent - A Raspberry Pi CCTV camera project to broadcast numbers of available car parking spaces on the Fetch.ai network
Fork of the Python Multi-Agent Reinforcement Learning framework.
Neural swarming controller models for multi-agent and single-entity simulations.
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