cts198859 / deeprl_networkLinks
multi-agent deep reinforcement learning for networked system control.
☆413Updated 4 years ago
Alternatives and similar repositories for deeprl_network
Users that are interested in deeprl_network are comparing it to the libraries listed below
Sorting:
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆482Updated last year
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆343Updated 4 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆630Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆341Updated 5 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆627Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆709Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆743Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆395Updated 5 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆600Updated 8 months ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆366Updated 2 years ago
- multi-agent deep reinforcement learning for large-scale traffic signal control.☆381Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆209Updated 6 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆256Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆663Updated 6 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆700Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆311Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆579Updated 7 years ago
- The code for maddpg using pytorch☆168Updated 4 years ago
- DGN Code☆352Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆302Updated 10 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆173Updated last year
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆588Updated 2 years ago
- ☆204Updated last year
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆310Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆601Updated 10 months ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆192Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆198Updated 2 years ago
- Code for Weighted QMIX☆136Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆153Updated last year