Alternatives and similar repositories for multi_agent_systems

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

• 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
• MengGuo / ac_ltl_wsn
  Actor critic reinforcement learning + motion and task planning under LTL tasks + wireless sensor network routing
  ☆13Updated 4 years ago
• aralab-unr / ReinforcementLearningWithGA
  ☆19Updated 6 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 7 years ago
• sergeim19 / SinglePlayerMCTS
  Single Player Monte Carlo Tree Search implementation
  ☆18Updated 5 years ago
• davidreiman / pytorch-atari-dqn
  A PyTorch implementation of deep Q-learning for Atari games
  ☆14Updated 6 years ago
• kevin-hanselman / grid-world-rl
  Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
  ☆28Updated last year
• IBM / distributed-evolutionary-ml
  A tool for experimenting with evolutionary optimization methods for machine learning algorithms, by distributing the workload over a larg…
  ☆13Updated 6 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 6 years ago
• CanePunma / Multi_Agent_Deep_Reinforcement_Learning
  Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.
  ☆28Updated 7 years ago
• masouduut94 / MCTS-agent-cythonized
  MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…
  ☆13Updated 4 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆24Updated 2 years ago
• inboxedshoe / RP-DQN
  ☆10Updated 3 years ago
• optimization-toolbox / DNE4py
  DNE4py is a python library that aims to run and visualize many different evolutionary algorithms with high performance using mpi4py. It a…
  ☆10Updated 4 years ago
• hope-yao / cartpole
  Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment
  ☆14Updated 7 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
• matheusportela / Multiagent-RL
  Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
  ☆67Updated 6 years ago
• zackchase / intrinsic-fear-dqn
  Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.
  ☆10Updated 7 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆55Updated 6 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• wuwuwuxxx / Reinforcement-Learning-An-introduction
  solutions to the examples and exercises
  ☆42Updated 9 years ago
• mrocklin / tompkins
  A static DAG scheduling algorithm for heterogeneous systems using Mixed Integer Linear Programming . Implementation of "Optimization Tech…
  ☆17Updated 12 years ago
• bjoluc / gymwipe
  OpenAI Gym Environments for the Application of Reinforcement Learning in the Simulation of Wireless Networked Feedback Control Loops
  ☆14Updated 4 years ago
• mylzwq / LoadBalanceControl-RL
  Using Reinforcement Learning method to realize load balancing control in dynamic cellular network
  ☆11Updated 6 years ago
• gopala-kr / DRL-Agents
  research and implementations of Deep RL agents and their applications
  ☆56Updated last month
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆55Updated 5 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 8 years ago
• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 7 years ago
• wotmd5731 / dqn
  pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0
  ☆15Updated 7 years ago
• IEEE-NITK / Multi-Agent-Reinforcement-Learning
  Reinforcement Learning approaches for learning communication in Multi Agent Systems.
  ☆18Updated 6 years ago