← Authors

Alan Fern

46 papers · 2008–2026 · 14 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (17) 🌟 Keyword Trendsetter Combo (9) πŸ† Keyword Champion πŸ‘‘ Triple Crown 🌱 Topic Pioneer 🧬 Topic Evolution 🀝 Dynamic Duo (14) πŸ† Grand Slam ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (85) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (44)

Conferences

AAAI (10) JMLR (7) NIPS (7) IJCAI (4) CVPR (3) ICLR (3) ICML (3) RSS (3) ACML (1) AISTATS (1) ALT (1) CORL (1) ECCV (1) ICCV (1)

Top co-authors

Prasad Tadepalli (14) Sinisa Todorovic (4) Paola Pesantez-Cabrera (3) Jonathan Hurst (3) Robby Goetschalckx (3) Anurag Koul (3) Aryan Deshwal (2) Sungwook Yoon (2) Aaron Wilson (2) Javad Azimi (2)

Research topics

Reinforcement Learning (1)

Keywords

reinforcement learning (6) bayesian optimization (4) markov decision process (4) automated planning (3) atari game (2) bipedal locomotion (2) trajectory optimization (2) saliency map (2) long short-term memory (2) pac learning (2) active learning (2) online learning (2) hindsight optimization (2) open category detection (2) anomaly detection (2) deep reinforcement learning (2) recurrent neural network (2) attention mechanism (2) sim-to-real transfer (1) policy optimization (1)

Papers

Localized Near Surface Temperature Inversion Forecasting Using Long Short-Term Memory AAAI 2026
Budgeted Online Active Learning with Expert Advice and Episodic Priors AAAI 2026
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios AAAI 2025
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025
Attention-Based Models for Snow-Water Equivalent Prediction AAAI 2024
Data-Driven Structural Fire Risk Prediction for City Properties AAAI 2024
Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs ECCV 2024
Learning Decentralized Multi-Biped Control for Payload Transport CORL 2024
Grape Cold Hardiness Prediction via Multi-Task Learning AAAI 2023
PAC Guarantees and Effective Algorithms for Detecting Novel Categories JMLR 2022
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions ICLR 2021
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning RSS 2021
One Explanation is Not Enough: Structured Attention Graphs for Image Classification NIPS 2021
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021
Re-understanding Finite-State Representations of Recurrent Policy Networks ICML 2021
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs ICLR 2021
The Choice Function Framework for Online Policy Improvement AAAI 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework AAAI 2020
Learning Memory-Based Control for Human-Scale Bipedal Locomotion RSS 2020
Strategic Tasks for Explainable Reinforcement Learning AAAI 2019
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study IJCAI 2019
Learning Finite State Representations of Recurrent Policy Networks ICLR 2019
Visualizing and Understanding Atari Agents ICML 2018
Emergency Response Optimization using Online Hybrid Planning IJCAI 2018
Open Category Detection with PAC Guarantees ICML 2018
Fast Online Trajectory Optimization for the Bipedal Robot Cassie RSS 2018
Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning ALT 2017
Budget-Aware Deep Semantic Video Segmentation CVPR 2017
Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning JMLR 2017
Multitask Coactive Learning IJCAI 2015
Person Count Localization in Videos From Noisy Foreground and Detections CVPR 2015
Active Imitation Learning of Hierarchical Policies IJCAI 2015
Structured Prediction via Output Space Search JMLR 2014
Multi-Object Tracking via Constrained Sequential Labeling CVPR 2014
Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014
Dynamic Resource Allocation for Optimizing Population Diffusion AISTATS 2014
Monte Carlo Tree Search for Scheduling Activity Recognition ICCV 2013
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NIPS 2013
A Bayesian Approach for Policy Learning from Trajectory Preference Queries NIPS 2012
Budgeted Optimization with Concurrent Stochastic-Duration Experiments NIPS 2011
Improving Policy Gradient Estimates with Influence Information ACML 2011
Autonomous Learning of Action Models for Planning NIPS 2011
A Computational Decision Theory for Interactive Assistants NIPS 2010
Batch Bayesian Optimization via Simulation Matching NIPS 2010
Learning Linear Ranking Functions for Beam Search with Application to Planning JMLR 2009
Learning Control Knowledge for Forward Search Planning JMLR 2008