Alternatives and similar repositories for AquaRL:

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

• BIT-aerial-robotics / AquaML
  ☆102Updated 2 months ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆86Updated 4 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
• TonghanWang / RODE
  Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …
  ☆74Updated 4 months ago
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆61Updated 10 months ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆52Updated 2 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆106Updated 3 years ago
• kikojay / EMC
  The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.
  ☆40Updated 2 years ago
• mansicer / MAIC
  The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆52Updated last year
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆50Updated last month
• IouJenLiu / CMAE
  ☆49Updated 3 years ago
• liuboyin / LAIES
  ☆15Updated last year
• LAMDA-RL / ODIS
  The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆40Updated 5 months ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 5 years ago
• ling-pan / RES
  ☆26Updated 3 years ago
• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 3 years ago
• morning9393 / HAPPO-HATRPO
  ☆42Updated 3 years ago
• dobro12 / CPO
  Constrained Policy Optimization implementation on Safety Gym
  ☆25Updated 3 years ago
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆65Updated last year
• MDrW / ICML2022-IRAT
  ☆39Updated 2 years ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆53Updated last year
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆33Updated 2 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
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆40Updated 6 years ago
• UnrealTracking / mate
  MATE: the Multi-Agent Tracking Environment.
  ☆44Updated 2 years ago
• apexrl / GCRL-Collection
  This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…
  ☆124Updated last year
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆166Updated 5 months ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆178Updated 4 months ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆88Updated last year