fiezt / Reinforcement-LearningLinks
Reinforcement Learning Algorithms
☆9Updated 7 years ago
Alternatives and similar repositories for Reinforcement-Learning
Users that are interested in Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆10Updated 5 years ago
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Active inference implementation of dynamic multi-armed bandits☆19Updated last year
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Deep universal probabilistic programming with Python and PyTorch☆12Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆19Updated 6 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated 9 months ago
- Implementation of my Bayesian Optimization algorithms☆12Updated 7 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆34Updated 4 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.☆13Updated 2 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm☆21Updated 5 months ago
- Models of Sequential Decision-Making☆49Updated 5 months ago
- Bayesian Optimization Meets Bayesian Optimal Stopping☆32Updated 4 years ago
- Stochastic Optimization for Optimal Transport☆22Updated 8 years ago
- Time-varying Autoregression with Low Rank Tensors☆15Updated 3 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated last year
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago