Alternatives and similar repositories for qmix-plus:

Users that are interested in qmix-plus are comparing it to the libraries listed below

• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆34Updated 4 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆26Updated 5 years ago
• tessavdheiden / social_empowerment
  ☆16Updated 8 months ago
• rpatrik96 / AttA2C
  Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
  ☆26Updated 5 years ago
• IouJenLiu / PIC
  PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
  ☆49Updated 3 years ago
• cheryyunl / Paper-List-of-MARL
  A new paper list for multi-agent reinforcement learning (actively maintained)
  ☆25Updated 5 years ago
• createamind / Distributed-DRL
  Distributed Deep Reinforcement Learning
  ☆29Updated 4 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• Gouet / QMIX-Starcraft
  ☆18Updated 5 years ago
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆60Updated 5 years ago
• bonniesjli / DQN_SR
  Count based exploration with the successor representation for Unity ML's Pyramid
  ☆12Updated 5 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 3 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆44Updated 4 years ago
• activatedgeek / qmix
  ☆26Updated 6 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 5 years ago
• twni2016 / Meta-SAC
  Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
  ☆30Updated 3 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 5 years ago
• PKU-RL / FEN
  FEN Code
  ☆37Updated 5 years ago
• 011235813 / SEPT
  Single Episode Policy Transfer in Reinforcement Learning
  ☆17Updated 2 years ago
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆52Updated 2 years ago
• SamsungLabs / tqc
  Implementation of Truncated Quantile Critics method for continuous reinforcement learning.
  ☆25Updated last year
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 5 months ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• tesslerc / H-DRLN
  Hierarchical Deep RL Network
  ☆31Updated 8 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆33Updated 5 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 6 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 3 years ago
• gyh75520 / Relational_DRL
  Implementation of Relational Deep Reinforcement Learning
  ☆25Updated 5 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 3 years ago