DeUmbraTX / practical_rllib_tutorialLinks
Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning
☆65Updated 2 years ago
Alternatives and similar repositories for practical_rllib_tutorial
Users that are interested in practical_rllib_tutorial are comparing it to the libraries listed below
Sorting:
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆156Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆163Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆183Updated 10 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- Code for Weighted QMIX☆139Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- ☆211Updated 2 years ago
- This is the official implementation of Multi-Agent PPO.☆109Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 3 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆67Updated 10 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆140Updated last year
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆65Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆47Updated 10 months ago
- Transformer in RL for decision-making☆96Updated 2 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆160Updated last year
- ☆184Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 3 months ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆115Updated last week
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- ☆76Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago