Alternatives and similar repositories for asynchronous_impala_PPO:

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

• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 3 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆99Updated 2 years ago
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆94Updated 4 years ago
• uoe-agents / lb-foraging
  Level-Based Foraging (LBF): A multi-agent reinforcement learning environment
  ☆42Updated 5 months ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆38Updated 4 years ago
• Howuhh / prioritized_experience_replay
  Prioritized Experience Replay implementation with proportional prioritization
  ☆76Updated last year
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 2 years ago
• oxwhirl / comix
  ☆42Updated 3 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
• IouJenLiu / CMAE
  ☆47Updated 3 years ago
• LAMDA-RL / ODIS
  The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆39Updated 4 months ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆57Updated 2 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 5 years ago
• coldsummerday / SD-SAC
  Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)
  ☆19Updated 3 months ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆33Updated 2 weeks ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆132Updated last year
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆63Updated 2 years ago
• xtma / dsac
  Distributional Soft Actor Critic
  ☆51Updated 4 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆49Updated 3 years ago
• ini / multigrid
  Fast and flexible multi-agent gridworld reinforcement learning environments.
  ☆40Updated last month
• MDrW / ICML2022-IRAT
  ☆38Updated 2 years ago
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆62Updated 2 years ago
• chenf-ai / Multi-Agent-Communication-Considering-Representation-Learning
  ☆29Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆162Updated 2 years ago
• ZiyuanMa / R2D2
  An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch
  ☆45Updated 2 years ago
• JBLanier / pipeline-psro
  Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
  ☆48Updated 6 months ago
• uoe-agents / seac
  The official code base of Shared Experience Actor-Critic (NeurIPS2020)
  ☆37Updated last year
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆100Updated 3 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆84Updated last year