Research map / Reinforcement learning / Imitation learning
Sequence Model Imitation Learning with Unobserved Contexts
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add history of length 5 to behavioral cloning (ablation) | BC · HalfCheetah | return | Hurt |
| Add history of length 5 to behavioral cloning (ablation) | BC · Ant | return | Hurt |
| Add history of length 5 to DAgger (ablation) | DAgger · HalfCheetah | moment-matching error (MSE) | Helped |
| Add history of length 5 to DAgger (ablation) | DAgger · Ant | moment-matching error (MSE) | Helped |
| Use on-policy interaction rather than off-policy behavioral cloning | History-based imitation learning · Causal Bandit | expert-relative mistakes: 1/5 success rate for the latching off-policy learner | Helped |
| Give the learner history while training off-policy on expert demonstrations (ablation) | BC · PyBullet continuous control | return | Hurt |
| Treat the learner's past actions as interventions rather than expert-generated evidence | Bayesian context inference · Causal Bandit | expert-relative mistakes | Helped |
Closest papers by meaning
- Behavior Cloning is Not All You Need: The Optimality of On-Policy Distillation for Noisy Expert Feedback (NeurIPS 2026 · similarity 0.91)
- Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning (NeurIPS 2024 · similarity 0.90)
- Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift (NeurIPS 2026 · similarity 0.90)
- Causal Imitation for Markov Decision Processes: a Partial Identification Approach (NeurIPS 2024 · similarity 0.89)
- Imitation Learning from Observation with Automatic Discount Scheduling (ICLR 2024 · similarity 0.89)
- Efficient Imitation under Misspecification (ICLR 2025 · similarity 0.89)
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