Pratap Tokekar
8 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21)
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Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Reinforcement Learning
(4)
Core AI
(4)
Methods
(4)
Optimization & Theory
(3)
Deep Learning
(2)
Learning Types
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Foundations
(1)
Keywords
multi-agent reinforcement learning
(2)
sample efficiency
(2)
robot manipulation
(2)
reinforcement learning
(1)
imitation learning
(1)
policy optimization
(1)
geometric deep learning
(1)
policy gradient
(1)
multimodal large language model
(1)
visual reinforcement learning
(1)
behavior cloning
(1)
model-based reinforcement learning
(1)
posterior estimation
(1)
score function
(1)
continuous action space
(1)
path planning
(1)
approximation algorithm
(1)
inductive bia
(1)
adversarial robustness
(1)
submodular optimization
(1)
Papers
Stable and Efficient Single-Rollout RL for Multimodal Reasoning
CVPR 2026
GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning
ICCV 2025
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches
RSS 2025
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
NeurIPS 2024
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
AAAI 2023
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
ICML 2022
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
ICLR 2022
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks
RSS 2020