Research map / Reinforcement learning / Visual and representation RL
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the learned value function as a search heuristic, combined with planner path cost | TAMER · MAJSP | solved instances: 560 -> 708 | Helped |
| Use the learned value function as a search heuristic, combined with planner path cost | TAMER · Kitting | solved instances: 395 -> 1015 | Helped |
| Combine the learned value function with planner search rather than executing the learned policy alone | MAJSP · MAJSP | average plan size: 20 -> 18 | Helped |
| Combine the learned value function with planner search rather than executing the learned policy alone | Kitting · Kitting | solved instances: 896 -> 1015 | Helped |
| Add fluent inputs to the value network (ablation) | Learned heuristic · MAJSP | solving rate | Helped |
| Add action inputs to the value network (ablation) | Learned heuristic · MAJSP | solving rate | Helped |
| Add temporal-network inputs to the value network (ablation) | Learned heuristic · MAJSP | solving rate | Helped |
| Add goal inputs to the value network (ablation) | Learned heuristic · MAJSP | solving rate | No clear effect |
| Add constant inputs to the value network (ablation) | Learned heuristic · MAJSP | solving rate | No clear effect |
| Add both constant and goal inputs to the value network (ablation) | Learned heuristic · MAJSP | solving rate | Helped |
| Add fluent inputs to the value network (ablation) | Learned heuristic · Kitting | solving rate | Helped |
| Add action inputs to the value network (ablation) | Learned heuristic · Kitting | solving rate | Helped |
Closest papers by meaning
- Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning (AAAI 2025 · similarity 0.88)
- Improving planning and MBRL with temporally-extended actions (NeurIPS 2025 · similarity 0.87)
- SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge (AAAI 2024 · similarity 0.86)
- Discovering Temporally-Aware Reinforcement Learning Algorithms (ICLR 2024 · similarity 0.86)
- Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code (NeurIPS 2025 · similarity 0.86)
- PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs (ICML 2026 · similarity 0.86)
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