David Fridovich-Keil
10 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (8) π Cross-Pollinator (15) π Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(13)
π§¬
Topic Evolution
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
RSS (4)
CORL (2)
L4DC (2)
ICML (1)
NIPS (1)
Top co-authors
Keywords
multi-agent system
(2)
reinforcement learning
(1)
sample efficiency
(1)
game theory
(1)
bayesian inference
(1)
policy gradient
(1)
data augmentation
(1)
trajectory prediction
(1)
robot learning
(1)
markov decision process
(1)
nash equilibrium
(1)
kalman filter
(1)
partial observability
(1)
rate distortion
(1)
rate distortion theory
(1)
multi-agent planning
(1)
robot planning
(1)
mixed strategy
(1)
dynamics model
(1)
model-based control
(1)
Papers
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
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
L4DC 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
NIPS 2017