Alternatives and similar repositories for distributed-evolutionary-ml:

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

• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆20Updated 5 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 7 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆26Updated 6 years ago
• jupadhya1 / REINFORCEMENT-LEARNING
  Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…
  ☆11Updated 5 years ago
• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 7 years ago
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆36Updated 5 years ago
• cathywu / rllab-multiagent
  ☆11Updated 2 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• zaxliu / dqn4wirelesscontrol
  Python Q learning implementations and application examples in wireless networks
  ☆18Updated 8 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 2 years ago
• fmaxgarcia / Meta-MDP
  ☆11Updated 5 years ago
• microsoft / logrl
  Logarithmic Reinforcement Learning
  ☆26Updated 2 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆31Updated 4 years ago
• bryonkucharski / Learning-to-Drive-with-Reinforcement-Learning-and-Variational-Autoencoders
  Project for my graduate neural networks course - combining RL with VAEs
  ☆23Updated 5 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆12Updated 4 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• hysts / RL_refs
  ☆11Updated 7 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
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• TomZahavy / GrayingTheBox
  Code implementation of: "Graying the black box: Understanding DQNs"
  ☆20Updated 8 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆16Updated 6 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• zhouker94 / Multi-Agent-DRL
  Multiagent deep reinforcement learning research project
  ☆28Updated 10 months ago
• txzhao / rl-zoo
  PyTorch implementation of various reinforcement learning algorithms
  ☆18Updated 7 years ago
• Nikunj-Gupta / FCMADRL
  Fully Cooperative Multi-Agent Deep Reinforcement Learning
  ☆26Updated 5 years ago
• danakianfar / multi_agent_systems
  Multi-Agent Systems Course 2017 - MSc Artificial Intelligence @ UvA
  ☆18Updated 7 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆64Updated 4 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• ravi-lanka-4 / CoPiEr
  Co-training for Policy Learning
  ☆13Updated 5 years ago
• rrti / maxq
  hierarchical Q-learning implementation
  ☆11Updated 9 years ago