Alternatives and similar repositories for AAMAS-2023-FCQL

Users that are interested in AAMAS-2023-FCQL are comparing it to the libraries listed below

• jupadhya1 / REINFORCEMENT-LEARNING
  Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…
  ☆12Updated 6 years ago
• xiaotangtang-s / DQN-path-planning
  Real time image capture+DQN path planning
  ☆11Updated 2 years ago
• doandongnguyen / FuzzyDQN
  Fuzzy DQN in Keras
  ☆10Updated 4 years ago
• christinakouridi / multiagent_gym
  Adaptation of DQN, DDQN and COMA for multi-agent Gym environments
  ☆12Updated 2 years ago
• hsjharvey / Reinforcement-Learning
  Reinforcement learning algorithm implementation
  ☆10Updated 4 years ago
• saiboxx / offline-reinforcement-learning
  Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)
  ☆16Updated 5 years ago
• ShAw7ock / Atari_Pong_PPO_DQN
  ☆11Updated 3 years ago
• RyanHaoranLi / CAR-DQN
  [ICML 2024 Oral] Consistent Adversarial Robust Deep Q Networks (CAR-DQN)
  ☆14Updated 9 months 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
  ☆14Updated last year
• Danielhp95 / Regym
  ☆12Updated 3 years ago
• antonai91 / reinforcement_learning
  ☆16Updated 4 years ago
• MahmutAgrali / DDPG-DQN-PD-Controller-for-VTOL
  ☆11Updated 4 years ago
• HJDQN / HJQ
  PyTorch Implementation of Hamilton-Jacobi DQN
  ☆16Updated 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…
  ☆17Updated 3 years ago
• IITP-Load-Balancing / SDV_Dynamic_Computation_Offloading_Controller
  Implementation of Dynamic Computation Offloading Control Logic in a Software-Defined Vehicle (SDV) System
  ☆11Updated 11 months ago
• paulovbpo / reinforcement_learning_control_nnets_model
  My undergraduate final project - Modeling and control of a distillation column using neural networks and reinforcement learning.
  ☆12Updated 5 years ago
• ian0 / donkeycar-rl
  Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algori…
  ☆10Updated 4 years ago
• XD1227 / MultiExit-Rainbow
  Multi-Exit Evacuation simulation; Rainbow DQN application
  ☆17Updated 5 years ago
• ByeonWonJun / EdgeComputing
  Data Traceability and Safety in the Cloud and Edge
  ☆12Updated 3 years ago
• girishvjoshi / DQNLearn
  ☆18Updated 8 years ago
• joeegan17 / DQN-for-Electrical-Microgrid-Control
  Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid
  ☆10Updated 2 years ago
• ThibautTheate / Unconstrained-Monotonic-Deep-Q-Network-algorithm
  Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning…
  ☆11Updated 3 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
• hope-yao / cartpole
  Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment
  ☆14Updated 8 years ago
• GKthom / DeepQnetworks
  MATLAB implementation of DQN for a navigation environment
  ☆14Updated 5 years ago
• JoungheeKim / bootsrapped-dqn
  This is pytorch implmentation project of Bootsrapped DQN
  ☆13Updated 5 years ago
• JM-Kim-94 / rl-pendulum
  Open AI Gym - Pendulum-v1 reinforcement learning (DQN, SAC)
  ☆20Updated last year
• michaeltinsley / Gridworld-with-Q-Learning-Reinforcement-Learning-
  Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.
  ☆33Updated 7 years ago
• ZainBashir / Solving-openAI-Gym-MountainCarProblem-using-DQN-with-Image-input
  I have targeted to solve the benchmark problem in Reinforcement learning literature using Deep Q-networks with images as the only input t…
  ☆12Updated 6 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