catezi / MAPTLinks
This is the official code repository for the paper "Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning" accepted by AAAI 2024.
☆10Updated 8 months ago
Alternatives and similar repositories for MAPT
Users that are interested in MAPT are comparing it to the libraries listed below
Sorting:
- ☆43Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆197Updated last year
- Transformer in RL for decision-making☆101Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- ☆40Updated 3 years ago
- A plotter for reinforcement learning (RL) using Weights & Biases☆15Updated last year
- Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). G…☆29Updated last year
- [ICLR 2024] Official Implementation of ACORM☆61Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆87Updated 2 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆79Updated 10 months ago
- (Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR…☆52Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆66Updated last year
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆168Updated last year
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"☆12Updated last year
- Implementation of PPO Lagrangian in PyTorch☆50Updated 3 years ago
- ☆104Updated 4 years ago
- ☆217Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆61Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80Updated 2 years ago
- ☆50Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated last year
- Robust and safe deep reinforcement learning algorithms☆15Updated last year
- Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)☆32Updated 4 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆90Updated last year
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆51Updated last year
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆45Updated 11 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆218Updated last year
- ☆30Updated 2 years ago