marl-book / slidesLinks
Lecture slides for the MARL book (www.marl-book.com)
☆111Updated 2 months ago
Alternatives and similar repositories for slides
Users that are interested in slides are comparing it to the libraries listed below
Sorting:
- Official code repo for the MARL book (www.marl-book.com)☆521Updated 3 months ago
- Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments☆283Updated 3 months ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆95Updated 2 weeks ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆174Updated 2 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆53Updated 2 years ago
- ☆73Updated last year
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆229Updated 5 months ago
- Multi-objective Gymnasium environments for reinforcement learning☆333Updated last week
- A Torch Based RL Framework for Rapid Prototyping of Research Papers☆68Updated this week
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆298Updated 4 months ago
- A collection of pre-trained RL agents using Stable Baselines3☆130Updated 8 months ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆135Updated 5 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆183Updated 10 months ago
- Deep Reinforcement Learning Hands-On, 3E_Published by Packt☆251Updated 2 months ago
- Ray RLlib tutorial material☆117Updated 3 years ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆431Updated 2 weeks ago
- Explainable Reinforcement Learning (XRL) Resources☆41Updated 9 months ago
- Multi-Agent Reinforcement Learning with JAX☆605Updated last week
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆73Updated 8 months ago
- A reinforcement leaning environment for discrete MDPs.☆22Updated 8 months ago
- Stanford CS234: Reinforcement Learning assignments and practices☆55Updated 11 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆445Updated last month
- A collection of recent MARL papers☆93Updated 7 months ago
- Code exercises for the MARL Textbook☆25Updated 3 weeks ago
- Deep reinforcement learning without experience replay, target networks, or batch updates.☆256Updated 3 months ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆183Updated last year
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆42Updated 10 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆104Updated 3 weeks ago
- Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)☆173Updated 9 months ago
- The Starcraft Multi-Agent challenge lite☆41Updated 10 months ago