Alternatives and similar repositories for Neural-Bandit

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

• uclaml / NeuralUCB
  ☆40Updated 5 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆96Updated 3 years ago
• sumedh7 / CausalCuriosity
  Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…
  ☆40Updated 4 years ago
• BorealisAI / mtmfrl
  Multi Type Mean Field Reinforcement Learning
  ☆31Updated 3 years ago
• zjduan / CITransNet
  Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).
  ☆18Updated 3 years ago
• Plankson / awesome-explainable-reinforcement-learning
  A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
  ☆246Updated 6 months ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆197Updated 9 months ago
• tomdbar / ecord
  Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".
  ☆14Updated 3 years ago
• marketdesignresearch / DL-ICA
  Deep-Learning-powered-Iterative-Combinatorial Auctions
  ☆14Updated 2 years ago
• familyld / Awesome-Causal-RL
  A curated list of causal reinforcement learning resources.
  ☆99Updated last year
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆95Updated 2 months ago
• keirp / return_transforms
  ☆20Updated 2 years ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆52Updated 6 years ago
• Jinjiarui / hrl-papers
  A collection of research and survey papers of hierarchical reinforcement learning (HRL).
  ☆50Updated 5 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆73Updated last year
• nigelyaoj / Quality-Similar-Diversity
  Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning
  ☆17Updated 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
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆34Updated 2 years 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.
  ☆47Updated 2 years ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆218Updated 11 months ago
• jiangsy / mbpo_pytorch
  ☆29Updated 3 years ago
• clvoloshin / COBS
  OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
  ☆61Updated 3 years ago
• RunzheYang / MORL
  Multi-Objective Reinforcement Learning
  ☆283Updated 4 years ago
• Adaptive-RL / AdaRL-code
  Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…
  ☆40Updated last year
• aviralkumar2907 / CQL
  Code for conservative Q-learning
  ☆453Updated 3 years ago
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆152Updated 2 years ago
• louisv123 / COLGE
  ☆37Updated 6 years ago
• Xi-L / PSL-MOBO
  ☆35Updated last year
• wangzizhao / CausalDynamicsLearning
  ☆34Updated 2 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 3 years ago