conftrace_
← Authors

Alan Fern

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

Achievements

Jump to papers ↓
+16 more ↓ πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 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