All software
mpcrl-vehicle-gears
Software underlying publications: Learning-based MPC for fuel efficient control of autonomous vehicles with discrete gear selection and Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions
- autonomous driving
- Model predictive control
- Reinforcement learning
- + 1
- (Markdown)
- (Other)
- (Python)
SMZ
Code underlying the publication: VariBASed: Variational Bayes-Adaptive Sequential Monte-Carlo Planning for Deep Reinforcement Learning
- Autonomous Path-Planning
- Bayesian optimization
- deep learning
- + 3
- ("Jupyter Notebook")
- (large-text-file)
- (Markdown)
- + 4
Source code and data for the experiments presented in Deep Reinforcement Learning for Active Wake Control
Source code and data for the experiments presented in Deep Reinforcement Learning for Active Wake Control
- active wake control
- deep learning
- Reinforcement learning
trtpi
Code underlying the publication: Trust-Region Twisted Policy Improvement
- Autonomous Path-Planning
- deep learning
- Markov decision process
- + 2
- ("Jupyter Notebook")
- (Markdown)
- (Other)
- + 3
TSMCTS: Code underlying the publication: Twice Sequential Monte Carlo for Tree Search
TSMCTS: Code underlying the publication: Twice Sequential Monte Carlo for Tree Search
- Policy Improvement
- Reinforcement learning
- Search
- + 2
- (Markdown)
- (Other)
- (Python)
- + 2
viac
VIAC: Code underlying the publication: Value Improved Actor Critic Algorithms
- Policy Improvement
- Reinforcement learning
- Value Improvement
- (Markdown)
- (Python)
- (YAML)
NeuroGym
NeuroGym is a curated collection of neuroscience tasks with a common interface. The goal is to facilitate the training of neural network models on neuroscience tasks.
- deep learning
- Machine learning
- Neuroscience
- + 3
- (Python)