Arunkumar Byravan
9 papers · 2015–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
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Research topics
Reinforcement Learning
(6)
Applications
(5)
Methods
(5)
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Mathematics & Optimization
(1)
Robotics
(1)
Application Areas
(1)
Capabilities
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
deep reinforcement learning
(2)
offline reinforcement learning
(2)
vision transformer
(1)
model predictive control
(1)
sim-to-real transfer
(1)
transfer learning
(1)
active perception
(1)
collision avoidance
(1)
model-free reinforcement learning
(1)
robot learning
(1)
reproducing kernel hilbert space
(1)
trajectory optimization
(1)
continuous control
(1)
model-based reinforcement learning
(1)
robot manipulation
(1)
egocentric vision
(1)
neural radiance field
(1)
fluid dynamics
(1)
policy optimization
(1)
model-based planning
(1)
Papers
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
ICML 2025
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
CoRL 2024
Real-world fluid directed rigid body control via deep reinforcement learning
L4DC 2024
Evaluating Model-Based Planning and Planner Amortization for Continuous Control
ICLR 2022
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
CoRL 2021
Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion
CoRL 2021
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models
CoRL 2019
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces
RSS 2016
Graph-Based Inverse Optimal Control for Robot Manipulation
IJCAI 2015