Alternatives and similar repositories for Minimax-DQN

Users that are interested in Minimax-DQN are comparing it to the libraries listed below

• dennisushi / Multi-Agent-RL-DQN
  Deep Q Network for Multi-agent RL
  ☆15Updated 4 years ago
• CCCCCCCCCChen / Multi-aircraft-conflict-resolution-based-on-multi-agent-reinforcement-learning
  The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning mod…
  ☆16Updated 3 years ago
• gsavarela / networked_agents
  Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
  ☆9Updated 3 years ago
• OscarHuangWind / Preference-Guided-DQN-Atari
  [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving
  ☆11Updated last year
• a1193095382 / UAV-offloading-with-QMIX
  UAV offloading based on QMIX
  ☆14Updated last year
• xiaotangtang-s / DQN-path-planning
  Real time image capture+DQN path planning
  ☆10Updated 2 years ago
• GiovaniCenta / Pareto-Deep-Q-Networks
  Implementation of Pareto Deep Q Networks in a multi-objective Gym Reinforcement Learning Environment
  ☆16Updated 2 years ago
• davidkerkkamp / DQN-GNN
  Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets
  ☆16Updated 3 years ago
• Desny / DQN
  DQN related algorithms
  ☆10Updated 2 years ago
• xiaoxuh / HGFF_Maximize-the-lifetime-of-WSN-with-DRL
  Code for paper HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks
  ☆12Updated 5 months ago
• christinakouridi / multiagent_gym
  Adaptation of DQN, DDQN and COMA for multi-agent Gym environments
  ☆12Updated last year
• kinsonchen / task_scheduling_dqn_pytorch
  ☆14Updated 4 years ago
• X-I-N / my_PDQN
  my code for paper Parameterized-DQN
  ☆22Updated 4 years ago
• jinliangXX / learn_DRL
  学习DRL CNN -> DQN -> LSTM
  ☆13Updated 6 years ago
• Z-T-WANG / ConvergentDQN
  Codes accompanying the paper "A Convergent and Efficient Deep Q Network Algorithm"
  ☆8Updated 3 years ago
• mertalbaba / GT-DQN
  Combination of RL and game theory for modeling human behavior
  ☆11Updated 3 years ago
• instadeepai / EGTA-NMARL
  Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-…
  ☆18Updated 4 years ago
• Cynr1cChen / DRL-and-GNN-for-solving-VRP
  Optimization of vehicle routing problem by deep reinforcement learning method based on residual edge-graph attention network
  ☆10Updated 7 months ago
• GKthom / DeepQnetworks
  MATLAB implementation of DQN for a navigation environment
  ☆13Updated 4 years ago
• antonai91 / reinforcement_learning
  ☆15Updated 4 years ago
• huajay1 / LSTM-based-A2C
  ☆10Updated 4 years ago
• wangzhuanxing123 / DQN_Maze
  通过python3.6编程，利用DQN算法实现机器学习避开障碍走到迷宫终点。（Through python3.6 programming, I use DQN algorithm to achieve machine learning and avoid obstacles…
  ☆10Updated 7 years ago
• saaries / Maze_DQN_reinforcement_learning
  Use deep Q network to solve maze problem generated randomly, i.e. find the shortest path in a maze
  ☆8Updated 2 years ago
• biplavc / UAV_DQN_AoI_multi_UAV_Age_7
  Deep Q Network-based scheduling over two-hop wireless channels.
  ☆17Updated 4 years ago
• SadAngelF / Distributed-Dueling-DQN
  Here is our algorithm for Pursuit Problem based on the Distributed Reinforcement Learning for Cooperative Multi-robot Pursuit
  ☆10Updated 6 years ago
• indigoLovee / Dueling_DQN
  Dueling DQN Pytorch
  ☆13Updated 3 years ago
• mshokrnezhad / DRL_GNN
  The code shows how we can combine the ideas of deep reinforcement learning and graph neural networks
  ☆25Updated last year
• tony23545 / Deep-Reinforcement-Learning-Reimplementation
  Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.
  ☆19Updated 5 years ago
• SZU-AdvTech-2024 / 059-Deep-Reinforcement-Learning-for-Task-Offloading-in-Mobile-Edge-Computing-Systems
  ☆10Updated 6 months ago
• dixantmittal / Navigation-DQN
  A Deep Q-Network trained to safely guide the autonomous car to cross a 4-way intersection in a complex traffic environment.
  ☆9Updated 4 years ago