Prithviraj Ammanabrolu
Assistant Professor
Builds interactive language agents that learn through natural language and reinforcement learning, including LLM-based agents in text worlds.
Prithviraj Ammanabrolu's lab at UCSD works on reasoning & agents, large language models and reinforcement learning. 13 papers since 2023, 11 at top venues, mostly ICML and NeurIPS. 5 PhD students and 1 master's student. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 85%
- PhD students
- 5
- MS students
- 1
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 4 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 9 papers2023 · T1 7
T1 venuesOtherVenues: ICML, NeurIPS, ACL, CVPR, EACL
Research focuspaper titles that use each topic's words
- Reinforcement learning5 papers
- Reasoning & agents3 papers
- Large language models3 papers
- agents1 paper
- llm-based0 papers
Paper list
From the lab homepage.
20264 papers
- ICML (T1)Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text (opens in a new tab)
- ICML (T1)How Reasoning Evolves from Post-Training Data: An Empirical Study Using Chess (opens in a new tab)
- ICML (T1)Long Grounded Thoughts: Synthesizing Grounded Visual Problems and Distilling Reasoning Chains at Scale (opens in a new tab)
- ICML (T1)Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards (opens in a new tab)
20239 papers
- Association for Computational Linguistics (ACL)An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
- EACLBehavior Cloned Transformers are Neurosymbolic Reasoners (opens in a new tab)
- ICML (T1)Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling (opens in a new tab)
- NeurIPS (T1)Fine-Grained Human Feedback Gives Better Rewards for Language Model Training (opens in a new tab)
- ACL (T1)I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons (opens in a new tab)
- EMNLP (T1)Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning (opens in a new tab)
- ICLR (T1)Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization (opens in a new tab)
- CVPR (T1)Multimodal Knowledge Alignment with Reinforcement Learning (opens in a new tab)
- NeurIPS (T1)SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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