oh2gxn / nip
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
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- DBN++ Data Structures and Algorithms in C++ for Dynamic Bayesian Networks☆18Updated 9 years ago
- ☆11Updated 2 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 7 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 9 years ago
- ☆36Updated 8 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Solving POMDPs using exact and approximate methods☆13Updated 7 years ago
- Factored model-based Bayesian Reinforcement Learning framework☆20Updated 2 years ago
- Non-linear policy graph improvement - planning for Dec-POMDPs☆16Updated 4 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆42Updated 10 years ago
- ☆27Updated 5 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- TD-Regularized Actor-Critic Methods☆36Updated 5 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Reinforcement learning benchmarking.☆40Updated 6 years ago
- ☆68Updated 6 years ago
- Transfer Learning Environments☆11Updated 7 years ago
- ☆11Updated 5 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 7 years ago
- TensorFlow A2C to solve Acrobot, with synchronized parallel environments☆35Updated 6 years ago
- ☆53Updated 7 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, …☆37Updated 7 years ago
- Contains the code for "Generative Modeling of Multimodal Multi-Human Behavior" by Boris Ivanovic, Edward Schmerling, Karen Leung, and Mar…☆16Updated 6 years ago
- Various packages used by PMTK.☆54Updated 5 years ago
- Thompson Sampling based Monte Carlo Tree Search for MDPs and POMDPs☆15Updated 8 years ago