Alternatives and similar repositories for distributed-evolutionary-ml

Users that are interested in distributed-evolutionary-ml are comparing it to the libraries listed below

• automl / learning_environments
  We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.
  ☆21Updated 2 years ago
• danakianfar / multi_agent_systems
  Multi-Agent Systems Course 2017 - MSc Artificial Intelligence @ UvA
  ☆18Updated 7 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• omargup / neural_combinatorial_optimization
  A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
  ☆13Updated 5 years ago
• saiboxx / offline-reinforcement-learning
  Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)
  ☆16Updated 5 years ago
• fmaxgarcia / Meta-MDP
  ☆10Updated 5 years ago
• nik7273 / covid-pgmorl
  Multi-objective reinforcement learning for covid-19 control
  ☆12Updated 4 years ago
• DanielPalaio / MountainCar-v0_DeepRL
  OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
  ☆25Updated 4 years ago
• Nikunj-Gupta / FCMADRL
  Fully Cooperative Multi-Agent Deep Reinforcement Learning
  ☆28Updated 5 years ago
• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆20Updated 6 years ago
• gopala-kr / DRL-Agents
  research and implementations of Deep RL agents and their applications
  ☆58Updated last month
• zackchase / intrinsic-fear-dqn
  Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.
  ☆10Updated 7 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆28Updated 7 years ago
• VITA-Group / VGAI
  [IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernan…
  ☆14Updated 3 years ago
• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 7 years ago
• Sadie-Zhao / Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS
  This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".
  ☆15Updated 2 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆42Updated 7 years ago
• miryoosefi / ConRL
  Constrained episodic reinforcement learning in concave-convex and knapsack settings
  ☆11Updated 2 years ago
• inboxedshoe / RP-DQN
  ☆10Updated 3 years ago
• Mateus224 / Visual-Explanation-in-Deep-Reinforcement-Learning
  This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…
  ☆18Updated 5 years ago
• amokhvarma / GraphAttentionRL
  This repository contains an attempt at using Graph Attention based Reinforcement Learning for graphical state space. The code also provid…
  ☆10Updated 4 years ago
• liyiying / meta-MADDPG
  meta-MADDPG (Python implementation)
  ☆19Updated 7 years ago
• david1309 / Multi_Task_RL
  Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow
  ☆17Updated 7 years ago
• nesl / Time-in-State-RL
  Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020.
  ☆25Updated 4 years ago
• dennisushi / Multi-Agent-RL-DQN
  Deep Q Network for Multi-agent RL
  ☆15Updated 4 years ago
• xiaoxuh / HGFF_Maximize-the-lifetime-of-WSN-with-DRL
  Code for paper HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks
  ☆12Updated last week
• TomZahavy / GrayingTheBox
  Code implementation of: "Graying the black box: Understanding DQNs"
  ☆20Updated 8 years ago
• Danielhp95 / Regym
  ☆12Updated 3 years ago
• txzhao / rl-zoo
  PyTorch implementation of various reinforcement learning algorithms
  ☆18Updated 7 years ago
• instance01 / fish-rl-alife
  Running RL algorithms on the fish/shark aquarium environment to find unexpected biological insights.
  ☆10Updated 3 years ago