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
  ☆123Updated 5 years ago
• familyld / Awesome-Causal-RL
  A curated list of causal reinforcement learning resources.
  ☆74Updated last year
• alimama-tech / NeurIPS_Auto_Bidding_General_Track_Baseline
  Baseline for NeurIPS_Auto_Bidding_General_Track
  ☆30Updated 6 months ago
• liushunyu / CIA
  [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
  ☆31Updated 9 months ago
• Xi-L / PSL-MOBO
  ☆33Updated last year
• jidiai / TaxAI
  ☆54Updated 7 months ago
• dunnolab / awesome-in-context-rl
  Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —
  ☆127Updated this week
• AI4Finance-Foundation / RLSolver
  Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
  ☆145Updated 6 months ago
• hammer-wang / Awesome-Transformers-for-Sequential-Decision-Making
  Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.
  ☆43Updated 2 years ago
• csiro-mlai / RL-BOED
  ☆12Updated 2 years ago
• GMC-DRL / MetaBox
  MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/pap…
  ☆58Updated last month
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆31Updated 2 months ago
• sjtuhuoda / LearningforAuctionPapers
  ☆17Updated 3 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆61Updated last year
• Applied-Machine-Learning-Lab / KuaiSim
  ☆24Updated 5 months ago
• xzhang2523 / libmoon
  LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
  ☆80Updated last week
• waterhorse1 / NAC
  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.
  ☆29Updated 3 years ago
• cor3bit / bertsekas-marl
  PyTorch Implementation of the Sequential Multiagent Rollout algorithm
  ☆10Updated 8 months ago
• felix-kerkhoff / DQfD
  An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games
  ☆28Updated 2 years ago
• CDM1619 / Networked-MB-MARL
  ☆62Updated 5 months ago
• bath-reinforcement-learning-lab / SVERL_icml_2023
  Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.
  ☆20Updated last year
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆92Updated 3 years ago
• jon--lee / decision-pretrained-transformer
  Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…
  ☆59Updated 9 months ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆49Updated 5 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆51Updated last year
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆129Updated last year
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆71Updated last year
• apexrl / Batch-Offline--RL-Paper-Lists
  Paper Collection for Batch RL with brief introductions.
  ☆85Updated 3 years ago