Alternatives and similar repositories for DDPG_MultiAgent

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

• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆40Updated 6 years ago
• DMU-XMU / Gated-Multi-Attention-in-RL
  CAM ,DRL, Gated ,Multi-Attention
  ☆9Updated 3 years ago
• bdvllrs / marl-patrolling-agents
  Project on multi agent reinforcement learning applied on patrolling agents
  ☆39Updated 5 years ago
• rhoowd / sched_net
  ☆85Updated 3 years ago
• xkiwilabs / Multi-Agent-DDPG-using-PTtorch-and-ML-Agents
  A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.
  ☆37Updated 6 years ago
• rpatrik96 / AttA2C
  Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
  ☆27Updated 5 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆41Updated 5 years ago
• nicoring / rec-maddpg
  Decentralized deep multi-agent reinforcement learning in physical environments.
  ☆14Updated 6 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆41Updated 3 years ago
• david-simoes-93 / Multi-agent-Double-Deep-Q-Networks
  A multi-agent version of the Double DQN algorithm, with Foraging Task and Pursuit Game test scenarios
  ☆12Updated 8 years ago
• QDPP-GitHub / QDPP
  Multi-Agent Determinantal Q-Learning
  ☆42Updated 2 years ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 2 years ago
• liyiying / meta-MADDPG
  meta-MADDPG (Python implementation)
  ☆18Updated 6 years ago
• livey / scalable_maddpg
  scalable multi agents reinforcement learning
  ☆61Updated 7 years ago
• Nikunj-Gupta / FCMADRL
  Fully Cooperative Multi-Agent Deep Reinforcement Learning
  ☆27Updated 5 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
• cardwing / Codes-for-RL-PER
  A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
  ☆50Updated 6 years ago
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆48Updated 5 years ago
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆65Updated 2 months ago
• david-simoes-93 / Mixed-Policy-Asynchronous-Deep-Q-Learning
  Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…
  ☆15Updated 7 years ago
• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆20Updated 5 years ago
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆41Updated 3 years ago
• jqueeney / geppo
  Generalized Proximal Policy Optimization with Sample Reuse (GePPO)
  ☆24Updated last year
• gjp1203 / nui_in_madrl
  Negative Update Intervals in Multi-Agent Deep Reinforcement Learning
  ☆33Updated 6 years ago
• namidairo777 / xiao_multiagent
  Research project - real-time multi-agent pursuit a moving target
  ☆17Updated 4 years ago
• wwxFromTju / maddpg-tf
  use tensorflow to implement the MADDPG(simple_tag)
  ☆18Updated 7 years ago
• starry-sky6688 / DyMA-CL
  Implementation of DyMA-CL, MARL algorithm
  ☆27Updated 5 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆64Updated 5 years ago
• ling-pan / RES
  ☆26Updated 3 years ago
• renweiya / RFQ-RFAC
  Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning
  ☆15Updated 5 years ago