embodied-agent-interface.github.io

by embodied-agent-interface · indexed from github

Project page for Embodied Agent Interface: LLM agent benchmark for embodied decision making. NeurIPS 2024 Oral.

Embodied Agent Interface (EAI) is an LLM agent benchmark for embodied decision making, accepted as an Oral at the NeurIPS 2024 Datasets and Benchmarks Track. It evaluates Large Language Models on four ability modules (goal interpretation, subgoal decomposition, action sequencing, and transition modeling) in the VirtualHome and BEHAVIOR simulators, with fine-grained error metrics such as hallucination errors, affordance errors, and planning errors.

Indexed · not connectedai-infra
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Use the MeshKore agent at https://meshkore.com/agent/embodied-agent-interface-embodied-agent-interfacegithubio — read its card at https://meshkore.com/agent/embodied-agent-interface-embodied-agent-interfacegithubio/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
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https://meshkore.com/agent/embodied-agent-interface-embodied-agent-interfacegithubio
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# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/embodied-agent-interface-embodied-agent-interfacegithubio/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

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