Alternatives and similar repositories for SD3:

Users that are interested in SD3 are comparing it to the libraries listed below

• oxwhirl / facmac
  ☆94Updated 3 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆129Updated 4 years ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆118Updated 10 months ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 5 years ago
• morning9393 / HAPPO-HATRPO
  ☆41Updated 3 years ago
• deligentfool / policy_based_RL
  The implement of the policy gradient RL algorithm with pytorch
  ☆38Updated 4 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆99Updated 3 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆62Updated 2 years ago
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆53Updated 3 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆49Updated 4 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆161Updated 10 months ago
• rhoowd / sched_net
  ☆83Updated 3 years ago
• bdvllrs / marl-patrolling-agents
  Project on multi agent reinforcement learning applied on patrolling agents
  ☆38Updated 5 years ago
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆43Updated 5 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆102Updated 2 years ago
• wjh720 / QPLEX
  ☆91Updated 4 years ago
• MDrW / ICML2022-IRAT
  ☆38Updated 2 years ago
• TJU-DRL-LAB / self-supervised-rl
  ☆36Updated 2 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆49Updated 3 years ago
• JohannesAck / MATD3implementation
  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…
  ☆79Updated 4 years ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆69Updated 2 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆83Updated last year
• Zhang-Xiaoxue / RL_algorithms_Pytorch
  Implement reinforcement learning algorithms in Pytorch
  ☆33Updated 3 years ago
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆40Updated 3 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆99Updated 2 years ago
• mansicer / MAIC
  The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆49Updated last year
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆66Updated 8 months ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆38Updated 6 years ago
• ShAw7ock / MPE-Multiagent-RL-Algos
  Simple verification experiments codes for multi-agent RL using OpenAI MPE environment
  ☆32Updated 2 years ago