BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms
☆35Feb 18, 2016Updated 10 years ago
Alternatives and similar repositories for BBRL
Users that are interested in BBRL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- C++ implementation of simple Q-Learning algorithm☆12Dec 6, 2015Updated 10 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆62Dec 7, 2011Updated 14 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Jan 27, 2015Updated 11 years ago
- C++ library for reinforcement learning☆54May 5, 2023Updated 3 years ago
- High-quality reference implementations of various algorithms for Inverse Reinforcement Learning☆13Jun 20, 2018Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- AI Final Project☆65Jan 17, 2016Updated 10 years ago
- Reinforcement Learning algorithm from scratch in C++.☆19Jul 19, 2018Updated 7 years ago
- Stochastic Optimal Control and Reachability Toolbox Written in Python☆15Jul 13, 2023Updated 2 years ago
- Deep Reinforcement Learning Agent☆19Dec 9, 2015Updated 10 years ago
- QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation a…☆60Aug 8, 2019Updated 6 years ago
- Fun with variational autoencoders.☆11Dec 15, 2017Updated 8 years ago
- This maintains a reading list for multi-agent reinforcement learning☆16Jun 8, 2017Updated 9 years ago
- Asynchronous Advantage Actor Critic☆20Aug 15, 2016Updated 9 years ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Oct 29, 2017Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Jul 9, 2015Updated 10 years ago
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆32Jun 5, 2019Updated 7 years ago
- Official codebase for Adaptive Online Planning for Continual Lifelong Learning.☆17Mar 26, 2020Updated 6 years ago
- Testbed for deep reinforcement learning☆163Jun 12, 2017Updated 9 years ago
- Recurrent Neural Networks with External Memory☆30Aug 15, 2015Updated 10 years ago
- Model-Free Episodic Control☆14Jan 12, 2017Updated 9 years ago
- ☆68May 23, 2016Updated 10 years ago
- An opensource implementation of kanerva coding for use in reinforcement learning research☆11Mar 28, 2026Updated 3 months ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆26Jun 8, 2016Updated 10 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors☆57Oct 1, 2017Updated 8 years ago
- Lupa for Torch☆10Sep 16, 2015Updated 10 years ago
- DEEp Reinforcement learning framework☆488Jun 25, 2025Updated last year
- C++ Deep Reinforcement Learning Agent library☆13Apr 27, 2024Updated 2 years ago
- A functional API for auction simulations☆13May 28, 2018Updated 8 years ago
- Unofficial C++ implementation of SLAM method, VITAMIN-E☆11Oct 10, 2020Updated 5 years ago
- Some Reinforcement Learning in Python☆115Apr 17, 2017Updated 9 years ago
- Rectified Factor Networks☆37Oct 16, 2019Updated 6 years ago
- reinforcement learning. policy gradient. PCL☆37Apr 25, 2017Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Playground for reinforcement learning algorithms implemented in TensorFlow☆16Oct 18, 2016Updated 9 years ago
- 使用ONNXRuntime部署一种用于边缘检测的轻量级密集卷积神经网络LDC,包含C++和Python两个版本的程序☆11Apr 24, 2023Updated 3 years ago
- Implementation of "Successive Convexification for 6-DoF Mars Rocket Powered Landing with Free-Final-Time" by Szmuk and Ackimese☆12Mar 31, 2018Updated 8 years ago
- Natural Gradient implementation in Theano☆19Apr 8, 2013Updated 13 years ago
- A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783☆68Oct 28, 2016Updated 9 years ago
- RLPy Reinforcement Learning Framework☆254Sep 29, 2019Updated 6 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆151Sep 2, 2024Updated last year