Research map / Multi-agent systems and games / Human-AI and goal-conditioned
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Integrate learning, contextual reasoning, and POMDP interaction | Human intention estimation · Simulated office environment | F1 score | Helped |
| Integrate learning, contextual reasoning, and POMDP interaction | Human intention estimation · Simulated office environment | interaction costs | Helped |
| Use low-accuracy contextual knowledge | Reasoning-only (R) · Human intention estimation with low-accuracy knowledge | F1 score | Hurt |
| Use low-accuracy contextual knowledge | Learning+Reasoning (L+R) · Human intention estimation with low-accuracy knowledge | F1 score | Hurt |
| Use low-accuracy contextual knowledge | Reasoning+Planning (R+P) · Human intention estimation with low-accuracy knowledge | F1 score | No clear effect |
| Use learning alongside reasoning and planning | LCORPP · Human intention estimation with low-accuracy knowledge | F1 score | Helped |
| Provide only the first quarter of each motion trajectory (ablation) | LCORPP · Human intention estimation with partial trajectories | F1 score | No clear effect |
| Add trajectories and labels collected through interaction to the training dataset (ablation) | LCORPP · Human intention estimation with successive data batches | F1 score | Helped |
Closest papers by meaning
- Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs (NeurIPS 2025 · similarity 0.87)
- PO-PDDL: Learning Symbolic POMDPs from Visual Demonstrations for Robot Planning Under Uncertainty (NeurIPS 2026 · similarity 0.86)
- Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation (NeurIPS 2025 · similarity 0.86)
- Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity (NeurIPS 2024 · similarity 0.86)
- Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention (AAAI 2024 · similarity 0.86)
- Efficient Robotic Policy Learning via Latent Space Backward Planning (ICML 2025 · similarity 0.85)
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