Research map / Multi-agent systems and games / Human-AI and goal-conditioned
VirtualHome: Simulating Household Activities via Programs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Train with policy gradients using the LCS reward instead of maximum-likelihood training (ablation) | Text-to-program model · VirtualHome Activity | Mean LCS accuracy: .729 -> .767 | Helped |
| Add simulator executability reward to LCS reward (ablation) | Text-to-program model · VirtualHome Activity | Mean LCS accuracy: .767 -> .774 | Helped |
| Add simulator executability reward to LCS reward (ablation) | Text-to-program model · VirtualHome Activity | Simulator executability: 35.5% -> 39.8% | Helped |
| Train with policy gradients using the LCS reward instead of maximum-likelihood training (ablation) | Video-to-program model · VirtualHome Activity | Mean LCS accuracy: .478 -> .502 | Helped |
| Add simulator executability reward to LCS reward (ablation) | Video-to-program model · VirtualHome Activity | Mean LCS accuracy: .502 -> .495 | Hurt |
| Add simulator executability reward to LCS reward (ablation) | Video-to-program model · VirtualHome Activity | Simulator executability | Helped |
Closest papers by meaning
- Exploration-Driven Generative Interactive Environments (CVPR 2025 · similarity 0.85)
- TaskGround: Structured Executable Task Inference for Full-Scene Household Reasoning (NeurIPS 2026 · similarity 0.85)
- AgentStudio: A Toolkit for Building General Virtual Agents (ICLR 2025 · similarity 0.85)
- Learning Interactive Real-World Simulators (ICLR 2024 · similarity 0.84)
- VirtualEnv: A Platform for Embodied AI Research (AAAI 2026 · similarity 0.84)
- ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions (CVPR 2025 · similarity 0.84)
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