
Jason
 Referenced in 48 articles
[sw06187]
 systems using the Jason platform; it reinforces learning with examples, problems, and illustrations, includes...

RMAX
 Referenced in 31 articles
[sw02539]
 very simple modelbased reinforcement learning algorithm which can attain nearoptimal average reward...

Approxrl
 Referenced in 10 articles
[sw14312]
 implementations of a number of approximate reinforcement learning (RL) and dynamic programming (DP) algorithms. Notably ... Schutter, and D. Ernst, Reinforcement Learning and Dynamic Programming Using Function Approximators, CRC Press, Automation...

RLGlue
 Referenced in 8 articles
[sw13720]
 Glue: LanguageIndependent Software for ReinforcementLearning Experiments. RLGlue is a standard, languageindependent ... software package for reinforcementlearning experiments. The standardization provided by RLGlue facilitates code sharing...

PyBrain
 Referenced in 7 articles
[sw12670]
 still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test ... PyBrain is short for PythonBased Reinforcement Learning, Artificial Intelligence and Neural Network Library...

TEXPLORE
 Referenced in 4 articles
[sw13721]
 TEXPLORE: temporal difference reinforcement learning for robots and timeconstrained domains This book presents ... develops new reinforcement learning methods that enable fast and robust learning on robots in real ... that they were not programmed for. Reinforcement learning (RL) is a paradigm for learning sequential...

rllib
 Referenced in 2 articles
[sw11544]
 templatebased reinforcement learning library: fitting the code to the mathematics. This paper introduces ... good fit between the mathematics of reinforcement learning and their implementation in a library...

LVIBRA
 Referenced in 3 articles
[sw02429]
 last years the use of online learning approaches to achieve coordination has attracted ... this work is to use a Reinforcement Learning approach in the job of learning...

RLPy
 Referenced in 1 article
[sw14300]
 RLPy: a valuefunctionbased reinforcement learning framework for education and research. RLPy ... objectoriented reinforcement learning software package with a focus on valuefunctionbased methods using ... functions), facilitating recently increased specialization in reinforcement learning. RLPy is written in Python to allow ... properties allow users to compare various reinforcement learning algorithms with little effort...

Piqle
 Referenced in 2 articles
[sw14313]
 fast design, prototyping and test of reinforcement learning experiments (RL). By clearly separating algorithms...

RLLib
 Referenced in 1 article
[sw14311]
 Represent Learnable Knowledge using On/Off Policy Reinforcement Learning RLLib is a lightweight C++ template library ... gradient temporaldifference learning algorithms in Reinforcement Learning. It is an optimized library for robotic...

JRLF
 Referenced in 1 article
[sw14316]
 Java Reinforcement Learning Framework (JRLF) is a general framework for implementing and testing reinforcement learning...

rltexplorerospkg
 Referenced in 1 article
[sw14315]
 texplorerospkg: Reinforcement learning framework, agents, and environments with ROS interface. This project ... framework for running reinforcement learning experiments through ROS. Agents and Environments communicate actions, states...

LibPGRL
 Referenced in 1 article
[sw14310]
 LibPGRL: A high performance reinforcement learning library in C++. The PG library was intended ... highperformance policygradient reinforcement learning library. Since the first version it has been extended...

Aplusix
 Referenced in 7 articles
[sw08845]
 Grenoble to help students learn arithmetic and algebra. Aplusix reinforces students’ skills, reduces mistakes...

RLPark
 Referenced in 1 article
[sw14314]
 RLPark is a Java reinforcement learning library to experiment with online learning algorithms on robots...

CLSquare
 Referenced in 1 article
[sw14317]
 standardized framework for testing (not only) Reinforcement Learning controllers on a (growing) number of different...

DCLA
 Referenced in 1 article
[sw02085]
 DCLA: A dutycycle learning algorithm for IEEE 802.15.4 beaconenabled wsns he current specification ... Sensor Networks (WSN) that employs a reinforcement learning technique. Simulation results show that the proposed...

FlowLab
 Referenced in 7 articles
[sw06528]
 exercises, FlowLab eliminates the long learning curve associated ;with general fluid flow modeling packages, making ... masterslevel ;curriculum. With FlowLab, you can:;Reinforce basic concepts of fluid mechanics and heat/mass ... complement existing laboratorybased curriculum ;Expand the learning experience with realworld applications of fluid...

OpenAI Gym
 Referenced in 0 articles
[sw15330]
 OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection...