thu-ml / tianshou

An elegant, flexible, and superfast PyTorch deep reinforcement learning platform. (For previewed features, please checkout the "dev" branch)

reinforcement-learning deep-learning gae pytorch dqn policy-gradient ddpg imitation-learning sac multiagent-reinforcement-learning ppo a2c prioritized-experience-replay td3 multi-agent-reinforcement-learning dqn-pytorch ddpg-pytorch ppo-pytorch pytorch-reinforcement-learning

Updated Aug 10, 2020
Python

minqi / learning-to-communicate-pytorch

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

reinforcement-learning deep-learning deep-reinforcement-learning recurrent-neural-networks dqn rl deepmind drl multi-agent-systems emergent-behavior drqn multi-agent-reinforcement-learning

Updated Apr 1, 2019
Python

starry-sky6688 / StarCraft

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Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

reinforcement-learning deep-reinforcement-learning multi-agent-reinforcement-learning

Updated Jul 31, 2020
Python

salesforce / ai-economist

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Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

ai ml deep-reinforcement-learning economics multi-agent simulation-framework python-3 multi-agent-reinforcement-learning reinforcement-learning-environments

Updated Aug 8, 2020
Python

illidanlab / Simulator

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Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

simulator fleet-management multi-agent-reinforcement-learning

Updated Jul 21, 2019
Python

accel-brain / accel-brain-code

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The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

reinforcement-learning deep-learning deep-reinforcement-learning q-learning lstm generative-adversarial-network semi-supervised-learning restricted-boltzmann-machine convolutional-autoencoder transfer-learning simulated-annealing deep-q-network automatic-summarization deconvolution combinatorial-optimization quantum-monte-carlo auto-encoder quantum-annealing energy-based-model multi-agent-reinforcement-learning

Updated Aug 8, 2020
Python

praveen-palanisamy / macad-gym

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Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

deep-reinforcement-learning autonomous-driving gym-environments carla multi-agent-reinforcement-learning multi-agent-autonomous-driving carla-gym macad-gym carla-rl carla-reinforcement-learning

Updated Aug 3, 2020
Python

TensorSwarm / TensorSwarm

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TensorSwarm: A framework for reinforcement learning of robot swarms.

reinforcement-learning robotics tensorflow multi-agent reinforcement-learning-algorithms swarm-intelligence-algorithms swarm-robotics multi-agent-reinforcement-learning

Updated Feb 4, 2020
Python

hsvgbkhgbv / SQDDPG

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This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

framework reinforcement-learning openai-gym pytorch policy-gradient multiagent-reinforcement-learning multi-agent-reinforcement-learning marl sqddpg shapley-q-value multi-agent-rl

Updated Feb 26, 2020
Python

ying-wen / malib

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A Multi-agent Learning Framework

reinforcement-learning multi-agent-reinforcement-learning

Updated Mar 25, 2020
Python

Coac / CommNet-BiCnet

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CommNet and BiCnet implementation in tensorflow

reinforcement-learning tensorflow multi-agent-reinforcement-learning

Updated Jul 27, 2018
Python

chuangyc / awesome-multiagent-learning

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A curated list of multiagent learning and related area resources.

awesome multiagent-systems multi-agent-learning multi-agent-reinforcement-learning

Updated Aug 15, 2019

garlicdevs / Fruit-API

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A Universal Deep Reinforcement Learning Framework

environment games reinforcement-learning deep-learning deep-reinforcement-learning human multi-agent reinforcement-learning-algorithms multiplayer-game multi-objective-optimization atari actor-critic human-in-the-loop arcade-learning-environment actor-critic-algorithm multi-agent-reinforcement-learning policy-gradients

Updated Mar 12, 2020
Python

ModulabsLVNA / MADRL

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MADRL, Reinforcement Learning, Multi-Agent, MARL, Communication, Centralized Training and Decentralized Execution

communication-protocol multiagent-reinforcement-learning multi-agent-reinforcement-learning madrl

Updated Apr 10, 2019

ChuaCheowHuan / gym-continuousDoubleAuction

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A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray (RLLib) is used for training.