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acc_vehicle_mpc

Model Predictive Control of Adaptive Cruise Control Vehicles.

adprl2015

Approximate Dynamic Programming / Reinforcement Learning 2015/16 @ TUM

approximate-dynamic-programming

Illustration of the effectiveness of some well known approximate dynamic programming techniques

autonomous_guidance_mpc_and_lqr-lmi

Kinematic MPC and dynamic LPV-LQR state feedback control for an autonomous vehicle

consensus-problem-in-directed-networks-with-nonlinear-multi-agents

cooperative_learning

Cooperative learning project for Deep Reinforcement Learning.

csrn-maze-traversal

Cellular simultaneous recurrent neural network trained with extended Kalman filter.

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

deep_meta-learning_guidance_law

Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"

dmpc

Distributed Model Predictive Control Toolbox

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dynamo

A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization

et-ddf

A library of matlab and python code, as well as a ROS wrapper for event-triggered decentralized data fusion (ET-DDF) algorithms

eventtriggered-consensus

MATLAB code for the numerical example in ``Event-Triggered Consensus for Multi-Agent Systems with Guaranteed Robustly Positive Minimum Inter-Event Times

explicit-mpc

Learning based explicit nonlinear model predictive control based on robust nonlinear regression and reduced-set support vector machines

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

imm_enkf_traffic_estimation_incident_detection

This repository contains supporting codes for the paper “Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection.”. Please see readme for more details on how to run the codes.

learning-to-reinforcement-learn

a implement of meta-RL

madp

The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mpc_code

Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.

multi-agent-adaptive-estimation-and-coverage-control-using-gaussian-regression

multi-agent-reinforcement-learning-methods-to-minimize-obss-interferences

Code used for the master thesis at MIIS (UPF)

multi-robot-motion-planning-with-discrete-control

Symbolic motion planning for multi-agent collision avoidance problem

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

multiple_uavs

Hierarchical multi-agent systems for multiple UAVs

paper-code-implementation

Thesis retrieval

python-reinforcement-learning-projects

Python Reinforcement Learning Projects, published by Packt

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

radpbook

Source code for examples in Book "Robust Adaptive Dynamic Programming"