Andrew Silva
9 papers · 2020–2025 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
π§¬
Topic Evolution
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(8)
Machine Learning
(6)
Reinforcement Learning
(4)
Core Methods
(4)
Learning Types
(4)
Methods
(3)
Application Areas
(2)
Learning Paradigms
(2)
Natural Language Processing
(1)
Robotics
(1)
Applications
(1)
Capabilities
(1)
Generation
(1)
Optimization & Theory
(1)
Keywords
reinforcement learning
(3)
autonomous driving
(2)
interpretable policy
(2)
imitation learning
(2)
policy gradient
(2)
online learning
(1)
semi-supervised learning
(1)
representation learning
(1)
continuous control
(1)
decision tree
(1)
apprenticeship learning
(1)
scheduling optimization
(1)
domain knowledge
(1)
robot manipulation
(1)
stochastic gradient descent
(1)
deep neural network
(1)
state space model
(1)
generative model
(1)
learning from demonstration
(1)
unsupervised learning
(1)
Papers
ReGen: Generative Robot Simulation via Inverse Design
ICLR 2025
Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing
CoRL 2024
FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings
EACL 2023
Cross-Loss Influence Functions to Explain Deep Network Representations
AISTATS 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving
RSS 2022
Encoding Human Domain Knowledge to Warm Start Reinforcement Learning
AAAI 2021
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers
NAACL 2021
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations
NeurIPS 2020
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning
AISTATS 2020