Alternatives and similar repositories for BranchingDQN:

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

• rhoowd / sched_net
  ☆85Updated 3 years ago
• atavakol / action-branching-agents
  (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
  ☆116Updated 2 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆94Updated 2 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆75Updated 5 years ago
• skumar9876 / Hierarchical-DQN
  Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…
  ☆83Updated 7 years ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆51Updated 3 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆136Updated 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
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆102Updated 2 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 5 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆34Updated 3 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆72Updated last year
• coldsummerday / SD-SAC
  Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)
  ☆21Updated 5 months ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆59Updated 5 years ago
• hossam-mossalam / multi-objective-deep-rl
  Multi-Objective Deep Reinforcement Learning
  ☆45Updated 8 years ago
• shariqiqbal2810 / multiagent-particle-envs
  ☆47Updated 5 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆53Updated 2 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆63Updated 5 years ago
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆54Updated 3 years ago
• oxwhirl / facmac
  ☆96Updated 3 years ago
• vwxyzjn / invalid-action-masking
  Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
  ☆153Updated 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
• cardwing / Codes-for-RL-PER
  A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
  ☆50Updated 6 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…
  ☆92Updated 4 years ago
• wjh720 / QPLEX
  ☆93Updated 4 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• RunzheYang / MORL
  Multi-Objective Reinforcement Learning
  ☆271Updated 3 years ago
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆64Updated last month
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆35Updated 6 months ago