Alternatives and similar repositories for Bandit_book_solutions

Users that are interested in Bandit_book_solutions are comparing it to the libraries listed below

• Xiaoyinggit / ConUCB
  ☆11Updated 5 years ago
• uclaml / NeuralUCB
  ☆43Updated 5 years ago
• zjduan / CITransNet
  Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).
  ☆18Updated 3 years ago
• saisrivatsan / deep-opt-auctions
  Implementation of Optimal Auctions through Deep Learning
  ☆130Updated 5 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆96Updated 3 years ago
• ZIYU-DEEP / Awesome-Papers-on-Combinatorial-Semi-Bandit-Problems
  A curated list on papers about combinatorial multi-armed bandit problems.
  ☆17Updated 4 years ago
• PKU-RL / Literature
  ☆106Updated 4 years ago
• wadx2019 / Neural-Bandit
  A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…
  ☆23Updated 2 months ago
• MadryLab / implementation-matters
  ☆133Updated last year
• zhaoyu-li / NSNet
  [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"
  ☆19Updated 2 years ago
• facebookresearch / neural-rewriter
  Learning to Perform Local Rewriting for Combinatorial Optimization
  ☆151Updated 5 years ago
• Cranial-XIX / BOME
  ☆15Updated 2 years ago
• RchalYang / RLPaperList
  Personal Repo to keep track of RL papers
  ☆31Updated 4 years ago
• ryanxhr / BEAR
  Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"
  ☆11Updated 5 years ago
• clvoloshin / constrained_batch_policy_learning
  ☆27Updated 5 years ago
• emreyolcu / sat
  Learning local search heuristics for Boolean satisfiability
  ☆37Updated last year
• lns / memoire
  ☆18Updated 6 years ago
• fiezt / ICML-2020-Implicit-Stackelberg-Learning
  ☆12Updated 5 years ago
• PKU-RL / FEN
  FEN Code
  ☆38Updated 5 years ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆51Updated 6 years ago
• wangyuhuix / TRGPPO
  ☆32Updated 2 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• xijunlee / Learning-to-Optimize-Arxiv
  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…
  ☆164Updated 4 years ago
• hanxiongwei / L2O-Solver-Papers
  ☆11Updated 5 years ago
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆152Updated 2 years ago
• ChangyWen / wolpertinger_ddpg
  Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…
  ☆65Updated 2 years ago
• jidiai / SummerCourse2021
  ☆25Updated 4 years ago
• chaovven / maab
  Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022
  ☆24Updated 3 years ago
• Jinjiarui / hrl-papers
  A collection of research and survey papers of hierarchical reinforcement learning (HRL).
  ☆50Updated 5 years ago
• lyeskhalil / CORL
  ☆25Updated 3 years ago