Alternatives and similar repositories for Lasso

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

• liber145 / rlpack
  A pack of reinforcement learning algorithms.
  ☆84Updated 4 years ago
• xijunlee / Learning-to-Optimize-Arxiv
  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…
  ☆165Updated 5 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆29Updated 7 years ago
• Fengyuan-Shi / ADP_course_given_by_BERTSEKAS_2014_THU
  Video and other material of ADP course given by BERTSEKAS at THU, 2014
  ☆55Updated 6 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆99Updated 4 years ago
• KaiYan289 / RLpapersnote
  ☆49Updated 2 weeks ago
• akhadangi / Multi-armed-Bandits
  In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…
  ☆89Updated 5 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 7 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆38Updated 2 years ago
• DanielPalaio / MountainCar-v0_DeepRL
  OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
  ☆25Updated 4 years ago
• unc-optimization / StochasticProximalMethods
  A collection of stochastic proximal gradient methods for composite non-convex problems.
  ☆24Updated 5 years ago
• liboyue / Network-Distributed-Algorithm
  Experiments for distributed optimization algorithms
  ☆85Updated 2 years ago
• glenn89 / FederatedRL
  ☆39Updated 3 years ago
• wangjksjtu / rl-perturbed-reward
  Reinforcement Learning with Perturbed Reward, AAAI 2020
  ☆30Updated last year
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆48Updated 7 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆93Updated 4 years ago
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆71Updated 6 years ago
• bhushan23 / ADMM
  Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
  ☆158Updated 4 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 5 years ago
• skumar9876 / FCRL
  Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)
  ☆38Updated 7 years ago
• zwyu-ai / Explainable-Causal-Reinforcement-Learning
  Explainable Causal Reinforcement Learning with attention
  ☆33Updated 2 years ago
• lyeskhalil / CORL
  ☆25Updated 3 years ago
• pengyang7881187 / FedRL
  Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …
  ☆63Updated 3 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 3 years ago
• davide97l / rl-policies-attacks-defenses
  Adversarial attacks on Deep Reinforcement Learning (RL)
  ☆97Updated 4 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 3 years ago
• Sadie-Zhao / Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS
  This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".
  ☆16Updated 3 years ago
• uclaml / NeuralUCB
  ☆48Updated 5 years ago
• PKU-RL / Literature
  ☆108Updated 4 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆73Updated 2 years ago