indigoLovee / D3QN
D3QN Pytorch
☆57Updated 3 years ago
Alternatives and similar repositories for D3QN:
Users that are interested in D3QN are comparing it to the libraries listed below
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆53Updated 3 years ago
- my code for paper Parameterized-DQN☆21Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆68Updated 2 months ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆40Updated last year
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆94Updated 2 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆44Updated 2 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆30Updated last year
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆57Updated 2 years ago
- ☆48Updated 9 months ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆140Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆66Updated 8 months ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆110Updated 11 months ago
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆186Updated 2 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆122Updated last year
- The code for maddpg using pytorch☆164Updated 4 years ago
- Lightweight multi-agent PPO for IEEE field.☆13Updated 2 years ago
- RL algorithms☆140Updated 3 years ago
- 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
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆101Updated last month
- ☆94Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆60Updated 2 years ago
- QMIX implemented in TensorFlow 2☆17Updated 3 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆41Updated 2 years ago
- DDPG in Pytorch☆43Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆34Updated 3 months ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆32Updated 2 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 3 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆217Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year