fiezt / Reinforcement-Learning
Reinforcement Learning Algorithms
☆8Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Reinforcement-Learning
- A toolbox for inference of mixture models☆16Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆27Updated 3 years ago
- Active inference implementation of dynamic multi-armed bandits☆18Updated 10 months ago
- code for "Predictive representations can link model-based reinforcement learning to model-free mechanisms"☆18Updated 7 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Resource Guide for learning how to simulate and model Reinforcement Learning☆31Updated 4 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Structural Causal Bandit☆20Updated 3 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆42Updated 5 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆94Updated last year
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆22Updated 3 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 9 years ago
- Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".☆27Updated last year
- Python and MATLAB code for Stein Variational sampling methods☆23Updated 5 years ago
- Material for STATS271: Applied Bayesian Statistics (Spring 2021)☆25Updated 3 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 3 years ago
- MATLAB and Python 2.7/3 Implementations of the JVHW entropy and mutual information estimators in Jiao, Jiantao, Kartik Venkat, Yanjun Han…☆27Updated 7 years ago
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆31Updated 4 years ago
- ☆21Updated last year
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆39Updated 2 months ago
- Efficient Algorithms for L0 Regularized Learning☆96Updated 10 months ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 4 years ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆57Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆10Updated last year
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆29Updated 6 years ago
- Variational Gaussian Process State-Space Models☆21Updated 9 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Project on Causal Machine learning CS 7290☆16Updated 4 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated 4 months ago