Alternatives and similar repositories for optimaler:

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

• zjduan / CITransNet
  Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).
  ☆16Updated 2 years ago
• saisrivatsan / deep-opt-auctions
  Implementation of Optimal Auctions through Deep Learning
  ☆124Updated 5 years ago
• alimama-tech / NeurIPS_Auto_Bidding_General_Track_Baseline
  Baseline for NeurIPS_Auto_Bidding_General_Track
  ☆32Updated 8 months ago
• nobodymx / SORL-for-Auto-bidding
  codes for SORL framework for auto-bidding
  ☆39Updated 2 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆92Updated 3 years ago
• rushhan / Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch
  ☆40Updated 2 years ago
• fuxiAIlab / RL4RS
  A Real-World Benchmark for Reinforcement Learning based Recommender System
  ☆230Updated last year
• waterhorse1 / NAC
  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.
  ☆29Updated 3 years ago
• familyld / Awesome-Causal-RL
  A curated list of causal reinforcement learning resources.
  ☆79Updated last year
• chaovven / maab
  Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022
  ☆21Updated 3 years ago
• jidiai / TaxAI
  ☆58Updated 8 months ago
• instadeepai / og-marl
  Datasets with baselines for offline multi-agent reinforcement learning.
  ☆162Updated this week
• sjtuhuoda / LearningforAuctionPapers
  ☆17Updated 3 years ago
• wadx2019 / Neural-Bandit
  A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…
  ☆14Updated 2 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆71Updated last year
• chongminggao / EasyRL4Rec
  ☆90Updated last year
• sadighian / recommendation-gym
  MovieLens recommendation system using reinforcement learning (GYM + PPO)
  ☆49Updated 4 years ago
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆51Updated 2 years ago
• Jinjiarui / hrl-papers
  A collection of research and survey papers of hierarchical reinforcement learning (HRL).
  ☆44Updated 4 years ago
• lascavana / rl2branch
  ☆17Updated 6 months ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆62Updated last year
• modriczhang / HRL-Rec
  "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
  ☆54Updated 3 years ago
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆117Updated 4 months ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆30Updated 6 years ago
• dunnolab / awesome-in-context-rl
  Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —
  ☆152Updated this week
• chenhaokun / TPGR
  python implementation of the TPGR
  ☆39Updated 6 years ago
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆131Updated last year
• jidiai / SummerCourse2021
  ☆25Updated 3 years ago
• AI4Finance-Foundation / RLSolver
  Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
  ☆149Updated 7 months ago
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆58Updated 2 years ago