mKafouros

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

narya

The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well.

OfflineLight

Code for paper OfflineLight

PlanLight

code for paper PlanLight: Learning to Optimize Traffic Signal Control with Planning and Iterative Policy Improvement

tlc-baselines

mKafouros/PlanLight

code for paper PlanLight: Learning to Optimize Traffic Signal Control with Planning and Iterative Policy Improvement

mKafouros/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

mKafouros/maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

mKafouros/narya

The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well.

mKafouros/OfflineLight

Code for paper OfflineLight