Research map / Reinforcement learning / MDPs and planning
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Increase the number of samples used for causal structure estimation | Causal model-based approach · Synthetic causal structure estimation | graph edit distance | Helped |
| Increase the number of samples used for causal transition model estimation | Causal model-based approach · Synthetic causal transition model estimation | L1-distance | Helped |
| Use environments that do not fully satisfy the evenness assumption | Causal model-based approach · Synthetic causal transition model estimation | L1-distance | Hurt |
Closest papers by meaning
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- Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning (ICLR 2025 · similarity 0.87)
- Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning (AAAI 2024 · similarity 0.87)
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