Alternatives and similar repositories for multiagent_gym

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

• Cynr1cChen / DRL-and-GNN-for-solving-VRP
  Optimization of vehicle routing problem by deep reinforcement learning method based on residual edge-graph attention network
  ☆11Updated 8 months ago
• dennisushi / Multi-Agent-RL-DQN
  Deep Q Network for Multi-agent RL
  ☆15Updated 4 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
• kinsonchen / task_scheduling_dqn_pytorch
  ☆14Updated 4 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
• gsavarela / networked_agents
  Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
  ☆9Updated 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
• davidkerkkamp / DQN-GNN
  Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets
  ☆16Updated 3 years ago
• Z-T-WANG / ConvergentDQN
  Codes accompanying the paper "A Convergent and Efficient Deep Q Network Algorithm"
  ☆8Updated 3 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…
  ☆32Updated last year
• 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
• 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
• seolhokim / BipedalWalker-BranchingDQN
  The Easiest Pytorch Implementation of Branching-DQN
  ☆11Updated 4 years ago
• Nikunj-Gupta / FCMADRL
  Fully Cooperative Multi-Agent Deep Reinforcement Learning
  ☆28Updated 5 years ago
• xiaotangtang-s / DQN-path-planning
  Real time image capture+DQN path planning
  ☆10Updated 2 years ago
• bjoluc / gymwipe
  OpenAI Gym Environments for the Application of Reinforcement Learning in the Simulation of Wireless Networked Feedback Control Loops
  ☆14Updated 4 years ago
• Abluceli / H2G-MAAC
  The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …
  ☆15Updated 4 years ago
• antonai91 / reinforcement_learning
  ☆15Updated 4 years ago
• X-I-N / my_PDQN
  my code for paper Parameterized-DQN
  ☆22Updated 4 years ago
• verystrongjoe / qmix
  qmix
  ☆23Updated 5 years ago
• Myyura / Minimax-DQN
  ☆8Updated 3 years ago
• navid-naderi / GraphMIX
  Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
  ☆34Updated 4 years ago
• siavash91 / TC-DQN
  Adaptive Signal Traffic Control with Reinforcement Learning: Towards State-of-the-art and Beyond
  ☆8Updated 5 years ago
• ThousandOfWind / DRL-baseline
  Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete，A2C，A3C
  ☆19Updated 5 years ago
• skumar9876 / FCRL
  Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)
  ☆39Updated 6 years ago
• EnnaSachdeva / Recurrent-Multiagent-Deep-Deterministic-Policy-Gradient-with-Difference-Rewards
  Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…
  ☆52Updated 6 years ago
• zestyraiden / Reinforcement-Learning-VRP
  Exploring Reinforcement Learning Solutions to the Vehicle Routing Problem. PPO, A2C, DQN, SAC
  ☆17Updated last year
• a1193095382 / UAV-offloading-with-QMIX
  UAV offloading based on QMIX
  ☆14Updated 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
• wenwenla / tvt2022
  ☆12Updated 2 years ago