Alternatives and similar repositories for ellpy

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

• lx10077 / Lasso
  Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic …
  ☆47Updated 6 years ago
• MorvanZhou / Meta-Learning
  ☆36Updated 5 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆28Updated 7 years ago
• Zhenye-Na / gcn-spp
  Shortest Path prediction using Graph Convolutional Networks
  ☆27Updated 7 years ago
• smartsystems4u / MORL
  Multi-Objective Reinforcement Learning sandbox
  ☆12Updated 3 years ago
• unc-optimization / StochasticProximalMethods
  A collection of stochastic proximal gradient methods for composite non-convex problems.
  ☆21Updated 5 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated 2 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆17Updated 7 years ago
• AnjieCheng / awesome-multi-objective-optimization
  A curated list of awesome multi-objective optimization research resources.
  ☆64Updated 7 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆92Updated 4 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆31Updated 2 years ago
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆23Updated 4 years ago
• Spider-scnu / Monte-Carlo-tree-search-for-TSP
  This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).
  ☆34Updated 6 years ago
• Riashat / Q-Learning-SARSA-Policy-and-Value-Iteration
  Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …
  ☆37Updated 9 years ago
• Rowing0914 / Reinforcement_Learning
  Research repo of RL
  ☆23Updated 2 years ago
• Miyembe / frl_swarm
  Federated Deep Reinforcement Learning for Swarm Robotic Systems
  ☆10Updated 3 years ago
• sailik1991 / StackelbergEquilibribumSolvers
  Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.
  ☆36Updated 5 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• grasp-lyrl / scalableMARL
  Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking (IROS22).
  ☆10Updated 3 years ago
• Sadie-Zhao / Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS
  This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".
  ☆15Updated 3 years ago
• BY571 / D4PG
  PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…
  ☆24Updated 4 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆36Updated 6 years ago
• hcnoh / rl-collection-pytorch
  A collection of Reinforcement Learning implementations with PyTorch
  ☆21Updated 3 years ago
• QuanyiLi / MADDPG-Congestion-Control-Based-on-OMNETPP
  We implement MADDPG in a congestion env, and compare with several control groups to highlight the performance of MADDPG
  ☆10Updated 4 years ago
• HolaHansi / game_theory
  Implementing Algorithms for Computing Stackelberg Equilibria in Security Games
  ☆42Updated 8 years ago
• MorvanZhou / pathfind
  path finding algorithms
  ☆17Updated last year
• yrlu / non-convex
  Self-contained implementation of non-convex optimization algorithms in Python. Steepest Descent, Conjugate Gradient, Newton's Method, Qua…
  ☆83Updated 3 years ago
• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆19Updated 6 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago