Alternatives and similar repositories for BranchingDQN

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

• atavakol / action-branching-agents
  (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
  ☆116Updated 2 years ago
• rhoowd / sched_net
  ☆85Updated 3 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 5 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆137Updated 4 years ago
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆71Updated 5 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆95Updated 2 years ago
• coldsummerday / SD-SAC
  Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)
  ☆23Updated 7 months ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆103Updated 3 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆53Updated 3 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆169Updated 4 years ago
• skumar9876 / Hierarchical-DQN
  Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…
  ☆86Updated 7 years ago
• TJU-DRL-LAB / transfer-and-multi-task-reinforcement-learning
  ☆22Updated last year
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆85Updated 6 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆64Updated 5 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 5 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆53Updated 2 years ago
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆155Updated last year
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆117Updated 2 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆42Updated 3 years ago
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆40Updated 2 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 …
  ☆119Updated 7 months ago
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆43Updated 8 months ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆72Updated last year
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆65Updated 3 months ago
• tocom242242 / nash_q_learning
  Nash Q Learning
  ☆31Updated 4 years ago
• vwxyzjn / invalid-action-masking
  Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
  ☆155Updated 2 years ago
• ChangyWen / wolpertinger_ddpg
  Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…
  ☆66Updated 2 years ago
• chaovven / SMIX
  Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020
  ☆26Updated 2 years ago
• jiechuanjiang / pytorch_DGN
  The pytorch implementation of DGN on grid world and Starcraft
  ☆143Updated 3 years ago