Silviu Pitis
10 papers · 2019–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Triple Crown
π
Grand Slam
π
Renaissance Researcher
(5)
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(62)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(7)
Reinforcement Learning
(5)
Learning Types
(5)
Methods
(5)
Application Areas
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Resources & Methods
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Applications Β· Reinforcement Learning
(1)
Applications Β· Robotics
(1)
Keywords
preference learning
(2)
counterfactual data augmentation
(2)
preference modeling
(2)
sequential decision making
(2)
sample efficiency
(2)
large language model
(2)
few-shot learning
(1)
reward modeling
(1)
zero-shot learning
(1)
embedding learning
(1)
function approximation
(1)
metric learning
(1)
in-context learning
(1)
prompt engineering
(1)
ai safety
(1)
decision theory
(1)
out-of-distribution generalization
(1)
markov decision process
(1)
discount factor
(1)
language model alignment
(1)
Papers
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
ICLR 2024
Improving Context-Aware Preference Modeling for Language Models
NeurIPS 2024
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
NeurIPS 2023
Large Language Models are Human-Level Prompt Engineers
ICLR 2023
MoCoDA: Model-based Counterfactual Data Augmentation
NeurIPS 2022
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
ICLR 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
NeurIPS 2020
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
AAAI 2020
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
ICML 2020
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach
AAAI 2019