From Pen to Prompt: How Creative Writers Integrate AI into their Writing Practice

Alicia Guo, Shreya Sathyanarayanan, Leijie Wang +2

Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory

Alexander Levine, Peter Stone, Amy Zhang

Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning

Caleb Chuck, Carl Qi, Michael J. Munje +13

Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning

Tongzhou Wang, Antonio Torralba, Phillip Isola +1

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning

Harshit Sikchi, Qinqing Zheng, Amy Zhang +1

Decentralizing Platform Power: A Design Space of Multi-level Governance in Online Social Platforms

Shagun Jhaver, Seth Frey, Amy Zhang

$f$-Policy Gradients: A General Framework for Goal Conditioned RL using $f$-Divergences

Siddhant Agarwal, Ishan Durugkar, Peter Stone +1

A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning

Amy Zhang, Nicolas Ballas, Joelle Pineau

Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation

Sangmin Jung, Utkarsh Nath, Yezhou Yang +5

Viblio: Introducing Credibility Signals and Citations to Video-Sharing Platforms

Emelia Hughes, Renee Wang, Prerna Juneja +3

Who Puts the "Social" in "Social Computing"?: Using A Neurodiversity Framing to Review Social Computing Research

Philip Baillargeon, Jina Yoon, Amy Zhang

Unified Auto-Encoding with Masked Diffusion

Philippe Hansen-Estruch, Sriram Vishwanath, Amy Zhang +1

Learning Representations for Pixel-based Control: What Matters and Why?

Manan Tomar, Utkarsh A. Mishra, Amy Zhang +1

Multi-Task Reinforcement Learning with Context-based Representations

Shagun Sodhani, Amy Zhang, Joelle Pineau

Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability

Dibya Ghosh, Jad Rahme, Aviral Kumar +3

Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement

Michael Chang, Alyssa L. Dayan, Franziska Meier +3

LIV: Language-Image Representations and Rewards for Robotic Control

Yecheng Jason Ma, William Liang, Vaidehi Som +4

Exploiting Local Dynamics Regularity for Reusable Skills in Offline Hierarchical RL

Sarthak Dayal, Abhinav Peri, Carl Qi +4

Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Martin Klissarov, Pierluca D'Oro, Shagun Sodhani +5

EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation

Carl Qi, Dan Haramati, Tal Daniel +2

Latent State Marginalization as a Low-cost Approach for Improving Exploration

Dinghuai Zhang, Aaron Courville, Yoshua Bengio +3

Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews

Xiaoxiao Li, Rabah Al-Zaidy, Amy Zhang +3

Mapping the world population one building at a time

Tobias G. Tiecke, Xianming Liu, Amy Zhang +8

Factored Latent Action World Models

Zizhao Wang, Chang Shi, Jiaheng Hu +4

Plan2Vec: Unsupervised Representation Learning by Latent Plans

Ge Yang, Amy Zhang, Ari S. Morcos +3

Stable Policy Optimization via Off-Policy Divergence Regularization

Ahmed Touati, Amy Zhang, Joelle Pineau +1

Reshaping Undergraduate Computer Science Education in the Generative AI Era

Yi-Chieh Lee, Nattapat Boonprakong, Yugin Tan +20

The PokeAgent Challenge: Competitive and Long-Context Learning at Scale

Seth Karten, Jake Grigsby, Tersoo Upaa +28

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Liyuan Mao, Haoran Xu, Xianyuan Zhan +2

Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion

Dan Haramati, Carl Qi, Tal Daniel +3

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

Jonathan Stray, Alon Halevy, Parisa Assar +18

Structure in Deep Reinforcement Learning: A Survey and Open Problems

Aditya Mohan, Amy Zhang, Marius Lindauer

Invariant Causal Prediction for Block MDPs

Amy Zhang, Clare Lyle, Shagun Sodhani +5

Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback

Qinqing Zheng, Mikael Henaff, Amy Zhang +2

Learning Invariant Representations for Reinforcement Learning without Reconstruction

Amy Zhang, Rowan McAllister, Roberto Calandra +2

Out-of-Distribution Generalization via Risk Extrapolation (REx)

David Krueger, Ethan Caballero, Joern-Henrik Jacobsen +5

Guess Who Rated This Movie: Identifying Users Through Subspace Clustering

Amy Zhang, Nadia Fawaz, Stratis Ioannidis +1

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning

Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair +2

A Recipe for Stable Offline Multi-agent Reinforcement Learning

Dongsu Lee, Daehee Lee, Amy Zhang

Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks

Edwin Zhang, Yujie Lu, Shinda Huang +2

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Robert Kirk, Amy Zhang, Edward Grefenstette +1

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning

Harshit Sikchi, Rohan Chitnis, Ahmed Touati +3

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning

Caleb Chuck, Fan Feng, Carl Qi +4

Decoupling Dynamics and Reward for Transfer Learning

Amy Zhang, Harsh Satija, Joelle Pineau

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks

Viraj Joshi, Zifan Xu, Bo Liu +2

Reevaluating Policy Gradient Methods for Imperfect-Information Games

Max Rudolph, Nathan Lichtle, Sobhan Mohammadpour +6

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman +3

Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation

Andre Ye, Quan Ze Chen, Amy Zhang

ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning

Ruiyang Zhou, Shuozhe Li, Amy Zhang +1

Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning

Chris Lengerich, Gabriel Synnaeve, Amy Zhang +4

Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL

Weitong Zhang, Jiafan He, Dongruo Zhou +2

Information Borrowing in Regression Models

Amy Zhang, Le Bao, Michael J. Daniels

A Dual Approach to Imitation Learning from Observations with Offline Datasets

Harshit Sikchi, Caleb Chuck, Amy Zhang +1

Learning Action-based Representations Using Invariance

Max Rudolph, Caleb Chuck, Kevin Black +3

Zero-Shot Reinforcement Learning via Function Encoders

Tyler Ingebrand, Amy Zhang, Ufuk Topcu

Augmented Conditioning Is Enough For Effective Training Image Generation

Jiahui Chen, Amy Zhang, Adriana Romero-Soriano

SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions

Zizhao Wang, Jiaheng Hu, Caleb Chuck +5

Natural Environment Benchmarks for Reinforcement Learning

Amy Zhang, Yuxin Wu, Joelle Pineau

Generalization Across Observation Shifts in Reinforcement Learning

Anuj Mahajan, Amy Zhang

Composable Planning with Attributes

Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar +2

Learning Robust Reasoning through Guided Adversarial Self-Play

Shuozhe Li, Vaishnav Tadiparthi, Kwonjoon Lee +6

Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation

Xianming Liu, Amy Zhang, Tobias Tiecke +2

Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models

Pranaya Jajoo, Harshit Sikchi, Siddhant Agarwal +3

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

Rui Yang, Han Zhong, Jiawei Xu +4

Robust Policy Learning over Multiple Uncertainty Sets

Annie Xie, Shagun Sodhani, Chelsea Finn +2

Reinforcement Learning via Value Gradient Flow

Haoran Xu, Kaiwen Hu, Somayeh Sojoudi +1

AI and the Future of Digital Public Squares

Beth Goldberg, Diana Acosta-Navas, Michiel Bakker +24

Designing Word Filter Tools for Creator-led Comment Moderation

Shagun Jhaver, Quan Ze Chen, Detlef Knauss +1

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers

Jake Grigsby, Justin Sasek, Samyak Parajuli +3

Fast Adaptation with Behavioral Foundation Models

Harshit Sikchi, Andrea Tirinzoni, Ahmed Touati +6

Learning Causal State Representations of Partially Observable Environments

Amy Zhang, Zachary C. Lipton, Luis Pineda +5

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Denis Yarats, Amy Zhang, Ilya Kostrikov +3

Automated Discovery of Functional Actual Causes in Complex Environments

Caleb Chuck, Sankaran Vaidyanathan, Stephen Giguere +3

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem

Paul Barde, Jakob Foerster, Derek Nowrouzezahrai +1

Guess Who Rated This Movie: Identifying Users Through Subspace Clustering

Amy Zhang, Nadia Fawaz, Stratis Ioannidis +1

CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance

Arthur Zhang, Harshit Sikchi, Amy Zhang +1

Towards General-Purpose Model-Free Reinforcement Learning

Scott Fujimoto, Pierluca D'Oro, Amy Zhang +2

Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces

Manas Pathak, Xingyao Chen, Shuozhe Li +2

The paper introduces the Filtered Reasoning Score (FRS), a metric that evaluates the quality of reasoning traces from large language models by focusing on the most confident genera…

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning

Haoran Xu, Shuozhe Li, Harshit Sikchi +2

An Investigation of Time Reversal Symmetry in Reinforcement Learning

Brett Barkley, Amy Zhang, David Fridovich-Keil

CARE-RFT: Confidence-Anchored Reinforcement Finetuning for Reliable Reasoning in Large Language Models

Shuozhe Li, Jincheng Cao, Bodun Hu +3

Bringing Social Computing to Secondary School Classrooms

Kianna Bolante, Kevin Chen, Quan Ze Chen +1

Managing your Private and Public Data: Bringing down Inference Attacks against your Privacy

Salman Salamatian, Amy Zhang, Flavio du Pin Calmon +5

Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets

Alexander Levine, Peter Stone, Amy Zhang

GitHub OSS Governance File Dataset

Yibo Yan, Seth Frey, Amy Zhang +2

Trajectory-Refined Distillation

Li Jiang, Haoran Xu, Yichuan Ding +1

Proto Successor Measure: Representing the Behavior Space of an RL Agent

Siddhant Agarwal, Harshit Sikchi, Peter Stone +1

Accelerating Exploration with Unlabeled Prior Data

Qiyang Li, Jason Zhang, Dibya Ghosh +2

Learning Robust State Abstractions for Hidden-Parameter Block MDPs

Amy Zhang, Shagun Sodhani, Khimya Khetarpal +1

AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks

Mulong Luo, Wenjie Xiong, Geunbae Lee +6

Dissecting IoT Device Provisioning Process

Rostand A. K. Fezeu, Timothy J. Salo, Amy Zhang +1

Do Users Want Platform Moderation or Individual Control? Examining the Role of Third-Person Effects and Free Speech Support in Shaping Moderation Preferences

Shagun Jhaver, Amy Zhang

TRAM: Test-Time Risk Adaptation with Mixture of Agents

Mohamad Fares El Hajj Chehade, Amrit Singh Bedi, Amy Zhang +1

Unifying Agent Interaction and World Information for Multi-agent Coordination

Dongsu Lee, Daehee Lee, Yaru Niu +3

Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning

Zihan Ding, Amy Zhang, Yuandong Tian +1

Private Hierarchical Governance for Encrypted Messaging

Armin Namavari, Barry Wang, Sanketh Menda +5

Model-Invariant State Abstractions for Model-Based Reinforcement Learning

Manan Tomar, Amy Zhang, Roberto Calandra +2

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

Luis Pineda, Brandon Amos, Amy Zhang +2

Efficient RL for optimizing conversation level outcomes with an LLM-based tutor

Hyunji Nam, Omer Gottesman, Amy Zhang +3

Denoised MDPs: Learning World Models Better Than the World Itself

Tongzhou Wang, Simon S. Du, Antonio Torralba +3