Rahul Jain
Professor of Electrical and Computer Engineering, Computer Science, and Industrial and Systems Engineering
Researches reinforcement learning, online learning and stochastic control, with applications to networks and energy.
Rahul Jain's lab at USC works on reinforcement learning and learning theory & optimization. 27 papers since 2023, 11 at top venues, mostly AISTATS and NeurIPS. 6 PhD students and 4 master's students. 14 alumni, most often to Amazon and Qualcomm. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 41%
- PhD students
- 6
- MS students
- 4
- alumni listed
- 14
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 4 · collecting
- 7 papers2025 · T1 3
- 6 papers2024 · T1 2
- 7 papers2023 · T1 2
T1 venuesOtherVenues: AISTATS, NeurIPS, CDC, ICML, L4DC
Research focuspaper titles that use each topic's words
- Learning theory & optimization17 papers
- Reinforcement learning14 papers
- online learning4 papers
- researches reinforcement0 papers
- energy0 papers
Paper list
From the lab homepage.
20267 papers
- IROS WorkshopBenchmarking Autonomous Driving Planners Across Leaderboards: A Unified CARLA-Based Evaluation
- AISTATS (T1)Best Policy Learning from Trajectory Preference Feedback
- UAI (T1)Generalized Quantal Response Equilibrium: Existence and Efficient Learning
- accepted: NeurIPSInformed Posterior Sampling: More Efficient Online Learning with Few Offline Demonstrations in Average-Reward MDPs
- ICML (T1)Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
- NeurIPS (T1)Posterior Sampling-based Online Learning for Episodic POMDPs
- accepted: NeurIPSWhen Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited
20257 papers
- AISTATS (T1)A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
- L4DCBalance Equation-based Distributionally Robust Offline Imitation Learning
- L4DCConditional Kernel Imitation Learning for Continuous State Environments
- on openreview.netIterative DPO with an improvement model for fine-tuning diffusion models
- AAAI (T1)Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
- RL ConferencePure Exploration for Best Mixed Arm Identification under Constraints with a Fixed Budget
- NeurIPS (T1)Robust LLM Alignment via Distributionally Robust Direct Preference Optimization
20246 papers
- AISTATS (T1)A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitratry Opponent
- Trans. on Machine Learning Research (TMLR)Bridging imitation and online reinforcement: An optimistic tale
- NeurIPS (T1)e-COP : Episodic Constrained Optimization of Policies
- IEEE T. on Automatic ControlOptimal communication and control strategies in a multi-agent MDP problem
- IEEE T. on Automatic Control, , . accepted: JuneOptimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
- NeurIPS WorkshopPolicy Optimization for Strictly Batch Imitation Learning
20237 papers
- CDCA Novel Point-based Algorithm for Multi-agent Control Using the Common Information approach
- NeurIPS WorkshopAverage-reward Constrained Policy Optimization
- CDCExact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers
- ICML (T1)Leveraging demonstrations to improve online learning: Quality matters
- UAI (T1)Posterior Sampling-based Online Learning for the Stochastic Shortest Path Model
- IEEE T. Automatic Control, accepted: SeptemberProbabilistic Contraction Analysis of Iterated Random Operators
- NeurIPS WorkshopSafe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation
Where alumni went14 listed, 100% to industry
Industry 7Academia 0
Most often to
- Amazon
- Qualcomm
- Google DeepMind
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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