David Fridovich-Keil
10 papers · 2017–2025 · 5 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 (17)
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Keyword Collector
(50)
Venues
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
dynamics model
(2)
multi-agent system
(2)
sample efficiency
(2)
nash equilibrium
(1)
data augmentation
(1)
policy gradient
(1)
robot learning
(1)
bayesian inference
(1)
markov decision process
(1)
trajectory prediction
(1)
kalman filter
(1)
continuous control
(1)
partial observability
(1)
multi-agent planning
(1)
rate distortion
(1)
robot planning
(1)
probabilistic model
(1)
mixed strategy
(1)
sample complexity
(1)
Papers
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
L4DC 2025
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
RSS 2025
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning
ICML 2025
An investigation of time reversal symmetry in reinforcement learning
L4DC 2024
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models
CoRL 2024
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
CoRL 2023
Learning Mixed Strategies in Trajectory Games
RSS 2022
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations
RSS 2021
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
RSS 2018
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
NeurIPS 2017