Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
β504May 1, 2025Updated last year
Alternatives and similar repositories for warp-drive
Users that are interested in warp-drive are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- π¦ A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAXβ909Apr 21, 2026Updated 2 weeks ago
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.β1,336Updated this week
- High throughput synchronous and asynchronous reinforcement learningβ993Jan 29, 2026Updated 3 months ago
- A grid-world game engine for game AI researchβ257Apr 9, 2024Updated 2 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilitiesβ3,398Apr 27, 2026Updated last week
- Simple, predictable pricing with DigitalOcean hosting β’ AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A suite of test scenarios for multi-agent reinforcement learning.β826May 2, 2026Updated last week
- Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governmenβ¦β106Aug 20, 2023Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)β26Feb 3, 2022Updated 4 years ago
- A parallel framework for population-based multi-agent reinforcement learning.β551Dec 14, 2023Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment supportβ716Sep 24, 2024Updated last year
- Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.β932Dec 20, 2023Updated 2 years ago
- Efficient baselines for autocurricula in JAX.β212Aug 24, 2024Updated last year
- Massively parallel rigidbody physics simulation on accelerator hardware.β3,148Updated this week
- RL Environments in JAX πβ887Apr 2, 2026Updated last month
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Vectorization techniques for fast population-based training.β57Apr 26, 2026Updated 2 weeks ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.β872Aug 12, 2024Updated last year
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papersβ58Jan 20, 2023Updated 3 years ago
- β262Mar 11, 2026Updated last month
- πΉοΈ A diverse suite of scalable reinforcement learning environments in JAXβ828Apr 13, 2026Updated 3 weeks ago
- A library of reinforcement learning components and agentsβ3,981Apr 8, 2026Updated last month
- β1,422Mar 31, 2026Updated last month
- β30Aug 20, 2021Updated 4 years ago
- Library for Model Based RLβ1,061Jul 12, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environmentsβ332Nov 16, 2025Updated 5 months ago
- Scalable Multi-Agent Reinforcement Learningβ15Dec 25, 2021Updated 4 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"β30May 19, 2022Updated 3 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithmsβ47Mar 15, 2021Updated 5 years ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.β3,415Updated this week
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's archβ¦β837Nov 29, 2022Updated 3 years ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of β¦β563Feb 8, 2026Updated 3 months ago
- RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.β283Feb 11, 2023Updated 3 years ago
- β21Dec 22, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This is the official implementation of Multi-Agent PPO (MAPPO).β1,987Jul 18, 2024Updated last year
- CuLE: A CUDA port of the Atari Learning Environment (ALE)β242Nov 21, 2022Updated 3 years ago
- Really Fast End-to-End Jax RL Implementationsβ1,065Sep 9, 2024Updated last year
- Baselines for gymnax π€β76Apr 3, 2023Updated 3 years ago
- Docker containers of baseline agents for the Crafter environmentβ30Dec 14, 2021Updated 4 years ago
- megastep helps you build 1-million FPS reinforcement learning environments on a single GPUβ148Feb 9, 2022Updated 4 years ago
- Python Multi-Agent Reinforcement Learning frameworkβ2,185Dec 8, 2022Updated 3 years ago