Alternatives and similar repositories for invalid-action-masking

Users that are interested in invalid-action-masking are comparing it to the libraries listed below

• RunzheYang / MORL
  Multi-Objective Reinforcement Learning
  ☆296Updated 4 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆145Updated 5 years ago
• toshikwa / sac-discrete.pytorch
  PyTorch implementation of SAC-Discrete.
  ☆314Updated last year
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆231Updated 6 years ago
• cyanrain7 / TRPO-in-MARL
  ☆222Updated 2 years ago
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆235Updated 4 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 6 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆104Updated 2 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆65Updated 5 years ago
• wjh720 / QPLEX
  ☆100Updated 5 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆111Updated 3 years ago
• rhoowd / sched_net
  ☆91Updated 4 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆117Updated 3 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆219Updated last year
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆133Updated 3 years ago
• Kchu / DeepRL_PyTorch
  Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
  ☆215Updated 2 years ago
• AboudyKreidieh / h-baselines
  A repository of high-performing hierarchical reinforcement learning models and algorithms.
  ☆334Updated 2 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 5 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆87Updated 3 years ago
• cts198859 / deeprl_network
  multi-agent deep reinforcement learning for networked system control.
  ☆438Updated 5 years ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆96Updated 4 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆36Updated 4 years ago
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆120Updated last year
• kevslinger / DTQN
  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
  ☆171Updated last year
• DeUmbraTX / practical_rllib_tutorial
  Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning
  ☆70Updated 3 years ago
• atavakol / action-branching-agents
  (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
  ☆121Updated 3 years ago
• wsjeon / maddpg-rllib
  MADDPG in Ray/RLlib
  ☆54Updated 6 years ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆51Updated 7 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆55Updated 4 years ago
• Farama-Foundation / MAgent
  An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…
  ☆194Updated 3 years ago