Alternatives and similar repositories for Maml-Reptile-RL:

Users that are interested in Maml-Reptile-RL are comparing it to the libraries listed below

• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆49Updated 2 weeks ago
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆70Updated 3 months ago
• LxzGordon / Deep-Reinforcement-Learning-with-pytorch
  Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…
  ☆92Updated 4 years ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆34Updated 4 months ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆120Updated 10 months ago
• Zhang-Xiaoxue / RL_algorithms_Pytorch
  Implement reinforcement learning algorithms in Pytorch
  ☆33Updated 3 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆50Updated 3 years ago
• TJU-DRL-LAB / self-supervised-rl
  ☆37Updated 2 years ago
• oxwhirl / facmac
  ☆95Updated 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…
  ☆78Updated 4 years ago
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆67Updated 9 months ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 5 years ago
• Metro1998 / P-DQN
  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  ☆41Updated 3 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆84Updated last year
• FlickerNiko / SAC-QMIX
  Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.
  ☆46Updated 2 years ago
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆141Updated last year
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆131Updated 4 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆63Updated 2 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆66Updated 3 years ago
• TroddenSpade / Meta-Reinforcement-Learning
  Code snippets of Meta Reinforcement Learning algorithms
  ☆34Updated last year
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆105Updated 2 years ago
• ling-pan / SD3
  ☆58Updated 4 years ago
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆52Updated 3 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆100Updated 3 years ago
• tocom242242 / qmix_tf2
  QMIX implemented in TensorFlow 2
  ☆17Updated 3 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆161Updated 10 months ago
• lucifer2859 / meta-RL
  ☆26Updated 4 years ago
• rhoowd / sched_net
  ☆84Updated 3 years ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆70Updated 2 years ago