proroklab / VectorizedMultiAgentSimulatorLinks
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
☆466Updated 3 weeks ago
Alternatives and similar repositories for VectorizedMultiAgentSimulator
Users that are interested in VectorizedMultiAgentSimulator are comparing it to the libraries listed below
Sorting:
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆491Updated last week
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆388Updated last year
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆305Updated 8 months ago
- Multi-objective Gymnasium environments for reinforcement learning☆346Updated 3 months ago
- Multi-Objective Reinforcement Learning algorithms implementations.☆441Updated last month
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆635Updated last year
- ☆270Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆360Updated 2 years ago
- A gym environment for a miniature racecar using the pybullet physics engine.☆207Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆506Updated last month
- Datasets with baselines for Offline MARL.☆181Updated 2 months ago
- Baseline implementation of recurrent PPO using truncated BPTT☆155Updated last year
- Official code repo for the MARL book (www.marl-book.com)☆555Updated 6 months ago
- A collection of recent MARL papers☆98Updated 11 months ago
- The repository is for safe reinforcement learning baselines.☆709Updated 3 months ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆337Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆170Updated last year
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆81Updated last year
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆109Updated 3 weeks ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆193Updated last year
- This is the official implementation of Multi-Agent PPO.☆120Updated 2 years ago
- Imitation learning algorithms☆553Updated 7 months ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆72Updated last year
- ☆441Updated last year
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆844Updated last week
- UAV Flight Simulator for Reinforcement Learning Research☆187Updated 4 months ago
- A collection of multi agent environments based on OpenAI gym.☆619Updated last year
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆447Updated this week