Alternatives and similar repositories for Neural-Bandit:

Users that are interested in Neural-Bandit are comparing it to the libraries listed below

• uclaml / NeuralUCB
  ☆29Updated 4 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆92Updated 3 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 2 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆62Updated 2 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 3 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆27Updated 11 months ago
• Baijiong-Lin / MOML
  [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning
  ☆14Updated 7 months ago
• sumedh7 / CausalCuriosity
  Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…
  ☆37Updated 3 years ago
• lyeskhalil / CORL
  ☆24Updated 2 years ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆49Updated 5 years ago
• sungsoo-ahn / learning_what_to_defer
  ☆23Updated 4 years ago
• tushuhei / gpucb
  Simple implementation of GP-UCB algorithm.
  ☆51Updated 8 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• ardaegeunlu / Contextual-Gaussian-Process-Bandit-Optimization
  Simple implementation of the CGP-UCB algorithm.
  ☆32Updated 5 years ago
• ruchtem / cosmos
  This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
  ☆37Updated 3 years ago
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆36Updated last year
• AvivNavon / pareto-hypernetworks
  Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
  ☆100Updated 2 years ago
• causal-rl-anonymous / causal-rl
  ☆44Updated 2 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆29Updated 6 years ago
• polixir / ZOOpt
  A python package of Zeroth-Order Optimization (ZOOpt)
  ☆68Updated 2 years ago
• gbarcik / graphnets
  Extending the Neural Graph Algorithm Executor
  ☆13Updated 2 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆25Updated 3 years ago
• google-research / deep_ope
  ☆85Updated 7 months ago
• Xi-L / PSL-MOBO
  ☆33Updated last year
• daizhongxiang / Bayesian-Optimization-Meets-Bayesian-Optimal-Stopping
  Bayesian Optimization Meets Bayesian Optimal Stopping
  ☆31Updated 4 years ago
• akhadangi / Multi-armed-Bandits
  In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…
  ☆83Updated 4 years ago
• automl / transfer-hpo-framework
  Code accompanying https://arxiv.org/abs/1802.02219
  ☆17Updated 2 years ago
• idea-iitd / GCOMB
  ☆35Updated last year