
Jason
 Referenced in 65 articles
[sw06187]
 systems using the Jason platform; it reinforces learning with examples, problems, and illustrations, includes...

Approxrl
 Referenced in 32 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...

OpenAI Gym
 Referenced in 43 articles
[sw15330]
 OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection...

RMAX
 Referenced in 32 articles
[sw02539]
 very simple modelbased reinforcement learning algorithm which can attain nearoptimal average reward...

GradCAM
 Referenced in 21 articles
[sw35098]
 tasks with multimodal inputs or reinforcement learning, without any architectural changes or retraining...

TEXPLORE
 Referenced in 9 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 9 articles
[sw31153]
 RLlib: Scalable Reinforcement Learning. RLlib is an opensource library for reinforcement learning that offers...

IMPALA
 Referenced in 9 articles
[sw41064]
 collection of tasks using a single reinforcement learning agent with a single set of parameters ... high throughput by combining decoupled acting and learning with a novel offpolicy correction method ... effectiveness of IMPALA for multitask reinforcement learning on DMLab...

Dopamine
 Referenced in 8 articles
[sw31151]
 Dopamine: A Research Framework for Deep Reinforcement Learning. Deep reinforcement learning (deep RL) research...

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...

Stable Baselines
 Referenced in 11 articles
[sw34408]
 improved implementations of reinforcement learning algorithms based on OpenAI Baselines...

DARTS
 Referenced in 11 articles
[sw36213]
 conventional approaches of applying evolution or reinforcement learning over a discrete and nondifferentiable search...

PyBrain
 Referenced in 10 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...

Horizon
 Referenced in 6 articles
[sw31157]
 Horizon: Facebook’s Open Source Applied Reinforcement Learning Platform. In this paper we present Horizon ... Facebook’s open source applied reinforcement learning (RL) platform. Horizon ... showcase and describe real examples where reinforcement learning models trained with Horizon significantly outperformed...

PEORL
 Referenced in 5 articles
[sw29437]
 PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust DecisionMaking. Reinforcement learning ... used to build intelligent autonomous agents. Reinforcement learning relies on learning from interactions with real ... that integrates symbolic planning with hierarchical reinforcement learning (HRL) to cope with decisionmaking...

SeqGAN
 Referenced in 9 articles
[sw26534]
 generator as a stochastic policy in reinforcement learning (RL), SeqGAN bypasses the generator differentiation problem...

SBEED
 Referenced in 6 articles
[sw34727]
 SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. When function approximation is used, solving ... remained a major open problem in reinforcement learning for decades. The fundamental difficulty is that...

Tensorforce
 Referenced in 4 articles
[sw31158]
 Tensorforce: a TensorFlow library for applied reinforcement learning. Tensorforce is an opensource deep reinforcement ... learning framework, with an emphasis on modularized flexible library design and straightforward usability for applications ... Fullon TensorFlow models: The entire reinforcement learning logic, including control flow, is implemented...

Ray
 Referenced in 7 articles
[sw28740]
 will continuously interact with the environment and learn from these interactions. These applications impose ... existing specialized systems for several challenging reinforcement learning applications...

Pybullet
 Referenced in 7 articles
[sw35090]
 physics simulation, robotics and deep reinforcement learning based on the Bullet Physics SDK. With pybullet...