mbshqqb / HyARLinks
☆20Updated 2 years ago
Alternatives and similar repositories for HyAR
Users that are interested in HyAR are comparing it to the libraries listed below
Sorting:
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆57Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆73Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆128Updated 4 months ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆95Updated 11 months ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆63Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆161Updated 2 years ago
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆53Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆90Updated 7 months ago
- my code for paper Parameterized-DQN☆24Updated 4 years ago
- [ICDE 2023] Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning☆24Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆204Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆147Updated last year
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆54Updated 3 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆91Updated 4 years ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆27Updated 2 years ago
- Simple verification experiments codes for multi-agent RL using OpenAI MPE environment☆34Updated 3 years ago
- ☆107Updated 4 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆54Updated 4 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆57Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆41Updated last year
- ☆14Updated 4 years ago
- ☆61Updated 5 years ago
- Implementation of PPO Lagrangian in PyTorch☆52Updated 3 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆15Updated 4 years ago
- ☆218Updated 2 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆40Updated 2 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆22Updated 6 years ago
- 🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem☆22Updated 3 years ago