MAEnvs4VRP: Multi-Agent Environments for Vehicle Routing Problems

MAEnvs4VRP is a library of multi-agent environments for simulating classic vehicle routing problems, created by MAEnvs4VRP. The library was last updated on April 23, 2026. It includes environments for problems such as the Capacitated Vehicle Routing Problem with Soft Time Windows (CVRPSTW).

Use Cases

• Training reinforcement learning agents for logistics optimization based on the described vehicle routing environments.
• Benchmarking multi-agent coordination algorithms using the Capacitated Vehicle Routing Problem with Soft Time Windows (CVRPSTW) environment.
• Simulating and analyzing fleet management strategies in a controlled, multi-agent setting.

Strengths

• Provides a specialized library for a specific domain: multi-agent simulation of vehicle routing problems.
• Includes at least one concrete environment type: Capacitated Vehicle Routing Problem with Soft Time Windows (CVRPSTW).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.

Provenance

Source

MAEnvs4VRP

Collection Method

Likely a software library for generating simulation environments.

Time Range

Unknown

Freshness

Last updated 2026-04 23 15:12:04; freshness should be verified.

Geography

Unknown