Alternatives and similar repositories for Competition_3v3snakes:

Users that are interested in Competition_3v3snakes are comparing it to the libraries listed below

• jidiai / Competition_3v3snakes
  ☆38Updated 2 years ago
• seolhokim / DistributedRL-Pytorch-Ray
  Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)
  ☆27Updated 2 years ago
• MDrW / ICML2022-IRAT
  ☆39Updated 2 years ago
• starry-sky6688 / DyMA-CL
  Implementation of DyMA-CL, MARL algorithm
  ☆27Updated 5 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 4 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆65Updated 3 years ago
• uoe-agents / seps
  Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)
  ☆19Updated 3 years ago
• shariqiqbal2810 / ALMA
  Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022
  ☆28Updated 2 years ago
• ying-wen / rlchina_pbl
  ☆10Updated 2 years ago
• tuladhay / ATOC_COMA_PyTorch
  ☆22Updated 6 years ago
• RITCHIEHuang / MAGAIL
  Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning
  ☆40Updated 3 years ago
• MAS-anony / ASN
  ☆32Updated 2 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 2 years ago
• renweiya / RFQ-RFAC
  Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning
  ☆14Updated 5 years ago
• feidieufo / RL-Implementation
  simple code to reinforcement learning
  ☆19Updated 4 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
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆71Updated last year
• jiechuanjiang / I2Q
  I2Q: A Fully Decentralized Q-Learning Algorithm
  ☆18Updated 2 years ago
• xunger99 / SAAC-StarCraft-Adversary-Agent-Challenge
  ☆9Updated 3 years ago
• waterhorse1 / NAC
  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.
  ☆29Updated 3 years ago
• YangShengqi / cartpole_ppo_lstm
  ☆13Updated 4 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆41Updated 3 years ago
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆29Updated 4 months ago
• chenf-ai / Multi-Agent-Communication-Considering-Representation-Learning
  ☆29Updated 2 years ago
• KaiYan289 / RLpapersnote
  ☆42Updated this week
• Amanda2024 / CARE-SMAC-MA_SAC
  Multi-task Multi-agent Soft Actor Critic for SMAC
  ☆12Updated 3 years ago
• Jiwonjeon9603 / MASER
  This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…
  ☆21Updated last year
• ling-pan / RES
  ☆26Updated 3 years ago
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆28Updated 3 years ago
• QDPP-GitHub / QDPP
  Multi-Agent Determinantal Q-Learning
  ☆42Updated 2 years ago