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 4 years ago
• ZIYU-DEEP / Awesome-Papers-on-Combinatorial-Semi-Bandit-Problems
  A curated list on papers about combinatorial multi-armed bandit problems.
  ☆17Updated 3 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆24Updated 4 years ago
• zhaoyu-li / NSNet
  [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"
  ☆18Updated last year
• kantneel / causal-metarl
  WIP implementation of https://arxiv.org/pdf/1901.08162.pdf
  ☆9Updated 4 years ago
• ryanxhr / BEAR
  Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"
  ☆10Updated 5 years ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆49Updated 5 years ago
• clvoloshin / constrained_batch_policy_learning
  ☆26Updated 5 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 3 years ago
• zoulixin93 / pseudo_dyna_q
  ☆14Updated 4 years ago
• zjduan / CITransNet
  Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).
  ☆15Updated 2 years ago
• lns / memoire
  ☆18Updated 5 years ago
• emreyolcu / sat
  Learning local search heuristics for Boolean satisfiability
  ☆37Updated 9 months ago
• CausalDM / Causal-Decision-Making
  ☆26Updated 4 months ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• kesenzhao / DT4Rec
  ☆19Updated last year
• sumedh7 / CausalCuriosity
  Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…
  ☆37Updated 3 years ago
• saisrivatsan / deep-opt-auctions
  Implementation of Optimal Auctions through Deep Learning
  ☆122Updated 5 years ago
• KaiYan289 / RLpapersnote
  ☆42Updated 2 months ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• chaovven / maab
  Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022
  ☆20Updated 3 years ago
• KuNyaa / berkeleydeeprlcourse-homework-pytorch-solution
  Solutions for CS294-112 Fall2018 assignments in Pytorch
  ☆19Updated 6 years ago
• jidiai / SummerCourse2021
  ☆25Updated 3 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• chenhaokun / TPGR
  python implementation of the TPGR
  ☆39Updated 5 years ago
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 2 years ago
• chongminggao / DORL-codes
  Source codes for our SIGIR '23 paper
  ☆30Updated last year
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 2 years ago
• rlseminar / rlseminar.github.io
  Reinforcement Learning Seminar at the Chinese University of Hong Kong, Shenzhen, China.
  ☆20Updated last year
• ksRecoTech / Kuai-RL
  ☆21Updated 2 weeks ago