Research map / Reinforcement learning / Imitation learning
Inverse Constrained Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add IS-weighted multi-backward updates with importance sampling to the constraint learner (ablation) | ICRL constraint learning · HalfCheetah | true reward and constraint violations | Helped |
| Add KL-based early stopping to constraint updates (ablation) | ICRL constraint learning · HalfCheetah | true reward and constraint violations | Helped |
| Learn constraints via neural classifier (ICRL) instead of binary classifier baseline | constraint learning · Transfer to Point and Ant-Broken | true reward | Helped |
| Use GAIL-style discriminator constraint (GC) instead of ICRL learned constraint | constraint learning · Transfer to Point | true reward | Hurt |
Closest papers by meaning
- Simplifying Constraint Inference with Inverse Reinforcement Learning (NeurIPS 2024 · similarity 0.91)
- Provably Efficient Exploration in Inverse Constrained Reinforcement Learning (ICML 2025 · similarity 0.89)
- Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective (ICML 2024 · similarity 0.88)
- Robust Inverse Constrained Reinforcement Learning under Model Misspecification (ICML 2024 · similarity 0.88)
- Constrained Reinforcement Learning Under Model Mismatch (ICML 2024 · similarity 0.88)
- Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms (ICML 2024 · similarity 0.87)
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