sauxpa / neural_explorationLinks
Study NeuralUCB and regret analysis for contextual bandit with neural decision
☆98Updated 4 years ago
Alternatives and similar repositories for neural_exploration
Users that are interested in neural_exploration are comparing it to the libraries listed below
Sorting:
- ☆49Updated 5 years ago
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆90Updated 5 years ago
- MovieLens recommendation system using reinforcement learning (GYM + PPO)☆50Updated 5 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆25Updated 5 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆51Updated 6 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.☆218Updated 4 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆71Updated 4 years ago
- Thompson Sampling Tutorial☆55Updated 6 years ago
- Play with the solutions to the multi-armed-bandit problem.☆415Updated last year
- A Real-World Benchmark for Reinforcement Learning based Recommender System☆232Updated last year
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- ☆14Updated 5 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 6 years ago
- Implementation of Optimal Auctions through Deep Learning☆135Updated 6 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆105Updated 3 years ago
- A simple PyTorch implementation of Population Based Training of Neural Networks.☆63Updated 6 years ago
- ☆134Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 6 months ago
- ☆89Updated last year
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 6 years ago
- Library of contextual bandits algorithms☆336Updated last year
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆91Updated 6 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 6 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆66Updated 3 years ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆25Updated 6 months ago
- Bandit algorithms simulations for online learning☆88Updated 5 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- Multi-Armed Bandit Algorithms Library (MAB)☆133Updated 3 years ago