fiezt / Reinforcement-Learning
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
- A community repository for benchmarking Bayesian methods☆10Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆29Updated 3 years ago
- Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".☆27Updated last year
- Models of Sequential Decision-Making☆44Updated last week
- Resource Guide for learning how to simulate and model Reinforcement Learning☆31Updated 4 years ago
- A toolbox for inference of mixture models☆16Updated last year
- Active inference implementation of dynamic multi-armed bandits☆18Updated last year
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆45Updated last year
- code for "Predictive representations can link model-based reinforcement learning to model-free mechanisms"☆18Updated 7 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆39Updated 4 months ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆92Updated 3 years ago
- Plannable Approximations to MDP Homomorphisms: Equivariance under Actions☆29Updated 4 years ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆11Updated 3 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆21Updated 6 years ago
- ☆17Updated this week
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆23Updated 3 years ago
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆30Updated 7 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 5 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 3 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆48Updated 5 years ago
- Bayes-Adaptive Monte-Carlo Planning algorithm☆16Updated 11 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…☆53Updated 11 months ago
- ☆28Updated 5 years ago
- Implementation of the PAC Bayesian GP learning method.☆10Updated 6 years ago
- Public repository for the work on bandit problems☆23Updated 9 months ago
- ☆16Updated 8 years ago