Andrea Zanette
Assistant Professor
Studies foundations of reinforcement learning and decision-making under uncertainty.
Andrea Zanette's lab at CMU works on reinforcement learning and probabilistic & causal inference. 12 papers since 2023, 9 at top venues, mostly ICML and NeurIPS. 7 PhD students. 13 alumni, most often to Anthropic and ByteDance. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 75%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 13
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 3 · collecting
- 2 papers2025 · T1 2
- 2 papers2024 · T1 2
- 2 papers2023 · T1 2
T1 venuesOtherVenues: ICML, NeurIPS
Research focuspaper titles that use each topic's words
- Reinforcement learning7 papers
- Probabilistic & causal inference0 papers
- studies foundations0 papers
- decision-making0 papers
- uncertainty0 papers
Paper list
From the lab homepage.
20266 papers
- ICML (T1)Expanding the Capabilities of Reinforcement Learning via Text Feedback
- Oral COLM LLA WorkshopHarness Learning Enables Generalizable Test-Time Adaptation
- Oral ICMLMaximum Likelihood Reinforcement Learning
- Outstanding Paper Award COLMMessage Passing Enables Efficient Reasoning
- ICML (T1)Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards
- NeurIPS (T1)SLVR: Structured Latent Visual Reasoning via Human-like Reasoning Flows
20252 papers
- ICML (T1)Accelerating Unbiased LLM Evaluation via Synthetic Feedback
- NeurIPS (T1)Training Language Models to Reason Efficiently
20242 papers
- ICML (T1)ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
- NeurIPS (T1)Fast Best-of-N Decoding via Speculative Rejection
20232 papers
- NeurIPS (T1)Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
- ICML (T1)When is Realizability Sufficient for Off-Policy Reinforcement Learning?
Where alumni went13 listed, 33% to industry
Industry 4Academia 8
Most often to
- Anthropic
- ByteDance
- Citadel
Also to
- Carnegie Mellon University
- Georgia Tech
- Max Planck Institute
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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