Miroslav Pajic
16 papers · 2022–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (35) π Renaissance Researcher (6)
ποΈ
Keyword Collector
(70)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Artificial Intelligence
(10)
Reinforcement Learning
(10)
Methods
(10)
Machine Learning
(9)
Core AI
(7)
Learning Types
(5)
Optimization & Theory
(3)
Bayesian & Probabilistic Β· Machine Learning
(2)
Learning Paradigms
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Robotics
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Keywords
reinforcement learning
(6)
off-policy evaluation
(5)
markov decision process
(3)
adversarial training
(2)
upper confidence bound
(2)
regret bound
(2)
langevin monte carlo
(2)
latent space
(2)
multi-agent reinforcement learning
(2)
variational inference
(1)
time series
(1)
offline reinforcement learning
(1)
discount factor
(1)
bellman equation
(1)
variational optimization
(1)
time series classification
(1)
thompson sampling
(1)
policy selection
(1)
data augmentation
(1)
markov chain
(1)
Papers
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
L4DC 2026
Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving
AAAI 2026
Neuro-Symbolic Deadlock Resolution in Multi-Robot Systems
L4DC 2025
Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation
L4DC 2025
Variational Adversarial Training Towards Policies with Improved Robustness
AISTATS 2025
Off-Policy Selection for Initiating Human-Centric Experimental Design
NeurIPS 2024
On the uniqueness of solution for the Bellman equation of LTL objectives
L4DC 2024
On Trajectory Augmentations for Off-Policy Evaluation
ICLR 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2024
Robust exploration with adversary via Langevin Monte Carlo
L4DC 2024
Off-Policy Evaluation for Human Feedback
NeurIPS 2023
Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space
L4DC 2023
Variational Latent Branching Model for Off-Policy Evaluation
ICLR 2023
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification
IJCAI 2022
Gradient Importance Learning for Incomplete Observations
ICLR 2022
Resiliency of Perception-Based Controllers Against Attacks
L4DC 2022