• Jason

  • Referenced in 49 articles [sw06187]
  • systems using the Jason platform; it reinforces learning with examples, problems, and illustrations, includes...
  • R-MAX

  • Referenced in 31 articles [sw02539]
  • very simple model-based reinforcement learning algorithm which can attain near-optimal 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...
  • RL-Glue

  • Referenced in 8 articles [sw13720]
  • Glue: Language-Independent Software for Reinforcement-Learning Experiments. RL-Glue is a standard, language-independent ... software package for reinforcement-learning experiments. The standardization provided by RL-Glue 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 Python-Based Reinforcement Learning, Artificial Intelligence and Neural Network Library...
  • TEXPLORE

  • Referenced in 4 articles [sw13721]
  • TEXPLORE: temporal difference reinforcement learning for robots and time-constrained 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]
  • template-based 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...
  • L-VIBRA

  • Referenced in 3 articles [sw02429]
  • last years the use of on-line 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 value-function-based reinforcement learning framework for education and research. RLPy ... object-oriented reinforcement learning software package with a focus on value-function-based 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...
  • bandit-nmt

  • Referenced in 1 article [sw20941]
  • bandit-nmt: Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. Machine translation ... natural candidate problem for reinforcement learning from human feedback: users provide quick, dirty ratings ... generated reference translations. We describe a reinforcement learning algorithm that improves neural machine translation systems...
  • 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 temporal-difference 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...
  • rl-texplore-ros-pkg

  • Referenced in 1 article [sw14315]
  • texplore-ros-pkg: 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 ... high-performance policy-gradient 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 duty-cycle learning algorithm for IEEE 802.15.4 beacon-enabled 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 ... masters-level ;curriculum. With FlowLab, you can:;Reinforce basic concepts of fluid mechanics and heat/mass ... complement existing laboratory-based curriculum ;Expand the learning experience with real-world applications of fluid...