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Alan Fern

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

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Alan Fern?

8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Prasad Tadepalli, Robby Goetschalckx, Jonathan Hurst 20 papers · 2010–2025 · NeurIPS, AAAI, RSS Hide ▲
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025 Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios AAAI 2025 Learning Decentralized Multi-Biped Control for Payload Transport CoRL 2024 Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning RSS 2021 DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs ICLR 2021 One Explanation is Not Enough: Structured Attention Graphs for Image Classification NeurIPS 2021 Learning Memory-Based Control for Human-Scale Bipedal Locomotion RSS 2020 Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework AAAI 2020 The Choice Function Framework for Online Policy Improvement AAAI 2020 Emergency Response Optimization using Online Hybrid Planning IJCAI 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 Active Imitation Learning of Hierarchical Policies IJCAI 2015 Multitask Coactive Learning IJCAI 2015 Structured Prediction via Output Space Search JMLR 2014 Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 Autonomous Learning of Action Models for Planning NeurIPS 2011 A Computational Decision Theory for Interactive Assistants NeurIPS 2010
6 papers whose co-authors appear nowhere else under this name
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 An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021 Strategic Tasks for Explainable Reinforcement Learning AAAI 2019 Dynamic Resource Allocation for Optimizing Population Diffusion AISTATS 2014

Venues · all papers under this name

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