Alternatives and similar repositories for DynMORL

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

• RunzheYang / MORL
  Multi-Objective Reinforcement Learning
  ☆272Updated 3 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆53Updated 2 years ago
• hossam-mossalam / multi-objective-deep-rl
  Multi-Objective Deep Reinforcement Learning
  ☆45Updated 8 years ago
• rhoowd / sched_net
  ☆85Updated 3 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:/…
  ☆84Updated 7 years ago
• FedUni / MORL
  Multi-Objective Reinforcement Learning components built on top of RL glue components
  ☆29Updated 2 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆102Updated 2 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆58Updated 5 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆64Updated 5 years ago
• namidairo777 / Distributed-MADDPG
  Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
  ☆104Updated 4 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 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
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆40Updated 2 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆136Updated 4 years ago
• ttajmajer / morl-dv
  Modular Multi-Objective Reinforcement Learning with Decision Values
  ☆24Updated 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 …
  ☆118Updated 6 months ago
• tocom242242 / nash_q_learning
  Nash Q Learning
  ☆31Updated 4 years ago
• tbasaklar / PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
  A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…
  ☆29Updated last year
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆77Updated 2 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 4 years ago
• 011235813 / cm3
  Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
  ☆56Updated 2 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 6 years ago
• qian18long / epciclr2020
  ☆120Updated 2 years ago
• dadadidodi / m3ddpg
  ☆52Updated 6 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆209Updated 5 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 4 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated 2 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 4 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 2 years ago