Alternatives and similar repositories for BranchingDQN

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

• rhoowd / sched_net
  ☆91Updated 4 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆104Updated 2 years ago
• atavakol / action-branching-agents
  (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
  ☆120Updated 2 years ago
• vwxyzjn / invalid-action-masking
  Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
  ☆167Updated 2 years ago
• verystrongjoe / qmix
  qmix
  ☆23Updated 5 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆231Updated 6 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 6 years ago
• RunzheYang / MORL
  Multi-Objective Reinforcement Learning
  ☆296Updated 4 years ago
• TroddenSpade / Meta-Reinforcement-Learning
  Code snippets of Meta Reinforcement Learning algorithms
  ☆39Updated 2 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆36Updated 4 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆145Updated 5 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 3 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆55Updated 4 years ago
• skumar9876 / Hierarchical-DQN
  Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…
  ☆88Updated 8 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆67Updated 6 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 5 years 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…
  ☆96Updated 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 6 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆53Updated 3 years ago
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆42Updated last year
• coldsummerday / SD-SAC
  Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)
  ☆27Updated last year
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆111Updated 3 years ago
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆42Updated 3 years ago
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆168Updated 2 years ago
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆63Updated 4 years ago
• cyanrain7 / TRPO-in-MARL
  ☆222Updated 2 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆41Updated 4 years ago
• cts198859 / deeprl_network
  multi-agent deep reinforcement learning for networked system control.
  ☆437Updated 5 years ago
• LeoZhengZLY / stackelberg-actor-critic-algos
  ☆46Updated 4 years ago
• wjh720 / QPLEX
  ☆100Updated 5 years ago