oh2gxn / nipLinks
Dynamic Bayesian Network library
☆11Updated 2 years ago
Alternatives and similar repositories for nip
Users that are interested in nip are comparing it to the libraries listed below
Sorting:
- DBN++ Data Structures and Algorithms in C++ for Dynamic Bayesian Networks☆18Updated 9 years ago
- ☆11Updated 2 years ago
- ☆36Updated 8 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 7 years ago
- Recurrent Reinforcement Learning Algorithm Matlab Implementation☆46Updated 4 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- Python implementation of tabular asynchronous actor critic☆11Updated 9 years ago
- TD-Regularized Actor-Critic Methods☆36Updated 5 years ago
- Reinforcement learning benchmarking.☆40Updated 6 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 9 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- ☆54Updated 7 years ago
- Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …☆38Updated 9 years ago
- ☆11Updated 5 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆43Updated 10 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- ☆68Updated 7 years ago
- ☆15Updated 8 years ago
- Factored model-based Bayesian Reinforcement Learning framework☆21Updated 2 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆69Updated 9 years ago
- ☆27Updated 6 years ago
- Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília☆67Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- solutions to the examples and exercises☆42Updated 8 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Reinforcement Learning and Deep Learning Resources☆16Updated 7 years ago
- Bayes-Adaptive Monte-Carlo Planning algorithm☆17Updated 12 years ago