Alternatives and similar repositories for reinforcement-learning:

Users that are interested in reinforcement-learning are comparing it to the libraries listed below

• saashanair / rl-series
  ☆23Updated 2 years ago
• fschur / DDQN-with-PyTorch-for-OpenAI-Gym
  Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
  ☆68Updated 8 months ago
• AlexPasqua / DeepNetSlice
  Reinforcement Learning tool for Network Slice Placement problems
  ☆24Updated 11 months ago
• cocolico14 / N-step-Dueling-DDQN-PER-Pacman
  Using N-step dueling DDQN with PER for playing Pacman game
  ☆22Updated 5 years ago
• trunghieu-tran / Transfer-Learning-in-Reinforcement-Learning
  Transfer Learning in Reinforcement Learning using Stable-Baseline3 | Transfer Reinforcement Learning for Differing Action Spaces via Q-Ne…
  ☆20Updated 3 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆183Updated 3 years ago
• DeUmbraTX / practical_rllib_tutorial
  Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning
  ☆64Updated 2 years ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• chengxi600 / RLStuff
  A collection of reinforcement learning algorithm implementations
  ☆63Updated 10 months ago
• BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
  Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
  ☆78Updated 4 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆48Updated 3 years ago
• cyoon1729 / Policy-Gradient-Methods
  Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
  ☆98Updated 5 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆41Updated 3 years ago
• antonai91 / reinforcement_learning
  ☆15Updated 3 years ago
• rpatrik96 / pytorch-a2c
  A well-documented A2C written in PyTorch
  ☆50Updated 5 years ago
• tiagoCuervo / CommonsGame
  An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-poo…
  ☆21Updated 4 years ago
• Kirili4ik / HRL-taxi
  Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)
  ☆21Updated 5 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆33Updated 3 years ago
• shagunm1210 / Playing-Breakout-with-A3C-algorithim
  Using the deep reinforcement learning algorithm A3C to train my agent to play the Atari game Breakout!
  ☆32Updated 6 years ago
• wangjksjtu / rl-perturbed-reward
  Reinforcement Learning with Perturbed Reward, AAAI 2020
  ☆29Updated 8 months ago
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆117Updated 5 months ago
• Parsa33033 / Deep-Reinforcement-Learning-DQN
  Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay
  ☆96Updated 4 years ago
• willzhang3 / MASTER-electric_vehicle_charging_recommendation
  ☆52Updated 3 months ago
• tocom242242 / qmix_tf2
  QMIX implemented in TensorFlow 2
  ☆17Updated 3 years ago
• nicoguertler / graph_rl
  Hierarchical reinforcement learning framework which uses a directed graph to define the hierarchy.
  ☆12Updated 2 years ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆50Updated 6 years ago
• RobvanGastel / rnn-sac
  Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch
  ☆24Updated 2 years ago
• ChangyWen / wolpertinger_ddpg
  Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…
  ☆66Updated 2 years ago
• SaminYeasar / Off_Policy_Adversarial_Inverse_Reinforcement_Learning
  Implementation of Off Policy Adversarial Inverse Reinforcement Learning
  ☆22Updated 4 years ago
• knowledgedefinednetworking / DRL-GNN
  ☆226Updated last year