Alternatives and similar repositories for mobile-env:

Users that are interested in mobile-env are comparing it to the libraries listed below

• CN-UPB / DeepCoMP
  Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning
  ☆58Updated last year
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆139Updated last year
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆198Updated 5 years ago
• rhoowd / sched_net
  ☆83Updated 3 years ago
• bjoluc / gymwipe
  OpenAI Gym Environments for the Application of Reinforcement Learning in the Simulation of Wireless Networked Feedback Control Loops
  ☆12Updated 3 years ago
• vwxyzjn / invalid-action-masking
  Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
  ☆149Updated last year
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆90Updated last year
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆126Updated 4 years ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆49Updated 5 years ago
• AlexPasqua / DeepNetSlice
  Reinforcement Learning tool for Network Slice Placement problems
  ☆21Updated 8 months ago
• cts198859 / deeprl_network
  multi-agent deep reinforcement learning for networked system control.
  ☆397Updated 4 years ago
• herolab-uga / bsac
  Bayesian Soft Actor Critic
  ☆15Updated 2 years ago
• LeoZhengZLY / stackelberg-actor-critic-algos
  ☆39Updated 3 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆101Updated 2 years ago
• tocom242242 / qmix_tf2
  QMIX implemented in TensorFlow 2
  ☆16Updated 3 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆156Updated 9 months 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…
  ☆93Updated 3 years ago
• cyanrain7 / TRPO-in-MARL
  ☆192Updated last year
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆114Updated 8 months ago
• JohannesAck / MATD3implementation
  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…
  ☆79Updated 4 years ago
• oxwhirl / facmac
  ☆93Updated 3 years ago
• Metro1998 / P-DQN
  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  ☆41Updated 2 years ago
• knowledgedefinednetworking / DRL-GNN
  ☆211Updated last year
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆98Updated 2 years ago
• X-I-N / my_PDQN
  my code for paper Parameterized-DQN
  ☆20Updated 3 years ago
• skumar9876 / FCRL
  Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)
  ☆37Updated 6 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆40Updated 3 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆49Updated 3 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆164Updated 4 years ago
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆68Updated last month