huawei-noah / xingtianLinks
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
☆311Updated last year
Alternatives and similar repositories for xingtian
Users that are interested in xingtian are comparing it to the libraries listed below
Sorting:
- A parallel framework for population-based multi-agent reinforcement learning.☆532Updated last year
- ☆165Updated last year
- Implementation of benchmark RL algorithms☆467Updated 2 years ago
- ☆124Updated 3 years ago
- multi-agent deep reinforcement learning for networked system control.☆417Updated 4 years ago
- A plotter for reinforcement learning (RL)☆224Updated 3 years ago
- GitHub's code repository is all you need☆351Updated 2 years ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆132Updated 4 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆93Updated 4 years ago
- The code for maddpg using pytorch☆169Updated 4 years ago
- Mean Field Multi-Agent Reinforcement Learning☆396Updated 5 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆488Updated last year
- This is the official implementation of Multi-Agent PPO.☆107Updated 2 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆305Updated 11 months ago
- Code for Weighted QMIX☆137Updated 4 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆264Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆752Updated 3 years ago
- Multi-Objective Reinforcement Learning☆277Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆433Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆240Updated 2 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆129Updated 4 months ago
- Code for conservative Q-learning☆446Updated 3 years ago
- 多智能 体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆201Updated 3 years ago
- ☆311Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆189Updated 6 months ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆131Updated last year