dquail / NonStationaryBanditLinks
Non stationary bandit for experiments with Reinforcement Learning
☆34Updated 8 years ago
Alternatives and similar repositories for NonStationaryBandit
Users that are interested in NonStationaryBandit are comparing it to the libraries listed below
Sorting:
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Bandits Environments for the OpenAI Gym☆89Updated 5 years ago
- ☆27Updated 6 years ago
- A Python 3 Bandit Visualization Package☆11Updated 7 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Public repository for the work on bandit problems☆23Updated last year
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆88Updated 5 years ago
- ☆65Updated last year
- Reinforcement Learning via Latent State Decoding☆29Updated 2 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 7 years ago
- Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018☆79Updated 6 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 8 years ago
- Reinforcement Learning with Convex Constraints☆14Updated 3 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- Library for Multi-Armed Bandit Algorithms☆58Updated 8 years ago
- A lightweight python library for bandit algorithms☆30Updated 2 years ago
- ☆27Updated 5 years ago
- ☆8Updated 8 years ago
- ☆69Updated 7 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 8 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Contextual bandit in python☆114Updated 4 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆71Updated 8 years ago
- Structural Causal Bandit☆25Updated 3 years ago
- Industrial Benchmark☆130Updated 2 years ago
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆32Updated 7 years ago