Amy Zhang

CoRR, March, 2025

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

[BibT_eX]

[DOI]

CoRR, March, 2025

Reevaluating Policy Gradient Methods for Imperfect-Information Games.

[BibT_eX]

[DOI]

CoRR, February, 2025

Augmented Conditioning Is Enough For Effective Training Image Generation.

[BibT_eX]

[DOI]

Jiahui Chen

Adriana Romero-Soriano

CoRR, February, 2025

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MaestroMotif: Skill Design from Artificial Intelligence Feedback.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards General-Purpose Model-Free Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory.

[BibT_eX]

[DOI]

Alexander Levine

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

StitchLLM: Serving LLMs, One Block at a Time.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Structure in Deep Reinforcement Learning: A Survey and Open Problems.

[BibT_eX]

[DOI]

Aditya Mohan

Mohamad Fares El Hajj Chehade

Marius Lindauer

J. Artif. Intell. Res., 2024

RL Zero: Zero-Shot Language to Behaviors without any Supervision.

[BibT_eX]

[DOI]

CoRR, 2024

Proto Successor Measure: Representing the Space of All Possible Solutions of Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk.

[BibT_eX]

[DOI]

Amrit Singh Bedi

Hao Zhu

CoRR, 2024

Unified Auto-Encoding with Masked Diffusion.

[BibT_eX]

[DOI]

Philippe Hansen-Estruch

Sriram Vishwanath

Manan Tomar

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Automated Discovery of Functional Actual Causes in Complex Environments.

[BibT_eX]

[DOI]

Caleb Chuck

Sankaran Vaidyanathan

CoRR, 2024

Diffusion World Model.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Action-based Representations Using Invariance.

[BibT_eX]

[DOI]

RLJ, 2024

Multistep Inverse Is Not All You Need.

[BibT_eX]

[DOI]

Alexander Levine

RLJ, 2024

SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions.

[BibT_eX]

[DOI]

Roberto Martín-Martín

Scott Niekum

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Reinforcement Learning by Discovering Neural Pathways.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An investigation of time reversal symmetry in reinforcement learning.

[BibT_eX]

[DOI]

Brett Barkley

David Fridovich-Keil

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Zero-Shot Reinforcement Learning via Function Encoders.

[BibT_eX]

[DOI]

Tyler Ingebrand

Ufuk Topcu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Score Models for Offline Goal-Conditioned Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Motif: Intrinsic Motivation from Artificial Intelligence Feedback.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

When should we prefer Decision Transformers for Offline Reinforcement Learning?

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Dual Approach to Imitation Learning from Observations with Offline Datasets.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

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

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

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

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Improving Generalization with Approximate Factored Value Functions.

[BibT_eX]

[DOI]

Shagun Sodhani

Sergey Levine

Trans. Mach. Learn. Res., 2023

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2023

Structure in Reinforcement Learning: A Survey and Open Problems.

[BibT_eX]

[DOI]

Aditya Mohan

Marius Lindauer

CoRR, 2023

Generalization Across Observation Shifts in Reinforcement Learning.

[BibT_eX]

[DOI]

Anuj Mahajan

CoRR, 2023

LIV: Language-Image Representations and Rewards for Robotic Control.

[BibT_eX]

[DOI]

CoRR, 2023

Sequence Modeling is a Robust Contender for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Imitation from Arbitrary Experience: A Dual Unification of Reinforcement and Imitation Learning Methods.

[BibT_eX]

[DOI]

Harshit Sikchi

Scott Niekum

CoRR, 2023

Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability.

[BibT_eX]

[DOI]

Hanlin Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accelerating Exploration with Unlabeled Prior Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LIV: Language-Image Representations and Rewards for Robotic Control.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BC-IRL: Learning Generalizable Reward Functions from Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

LAD: Language Augmented Diffusion for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Block Contextual MDPs for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Online Decision Transformer.

[BibT_eX]

[DOI]

Qinqing Zheng

Aditya Grover

Proceedings of the International Conference on Machine Learning, 2022

Robust Policy Learning over Multiple Uncertainty Sets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning.

[BibT_eX]

[DOI]

Philippe Hansen-Estruch

Proceedings of the International Conference on Machine Learning, 2022

Denoised MDPs: Learning World Models Better Than the World Itself.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

A Survey of Generalisation in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Provably Efficient Representation Learning in Low-rank Markov Decision Processes.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Model-Invariant State Abstractions for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Task Reinforcement Learning with Context-based Representations.

[BibT_eX]

[DOI]

Shagun Sodhani

Proceedings of the 38th International Conference on Machine Learning, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Robust State Abstractions for Hidden-Parameter Block MDPs.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Invariant Representations for Reinforcement Learning without Reconstruction.

[BibT_eX]

[DOI]

Rowan Thomas McAllister

Roberto Calandra

Yarin Gal

Sergey Levine

Proceedings of the 9th International Conference on Learning Representations, 2021

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Intervention Design for Effective Sim2Real Transfer.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Stable Policy Optimization via Off-Policy Divergence Regularization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Plan2Vec: Unsupervised Representation Learning by Latent Plans.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Invariant Causal Prediction for Block MDPs.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning Causal State Representations of Partially Observable Environments.

[BibT_eX]

[DOI]

Zachary C. Lipton

Luis Pineda

Kamyar Azizzadenesheli

CoRR, 2019

2018

Natural Environment Benchmarks for Reinforcement Learning.

[BibT_eX]

[DOI]

Yuxin Wu

CoRR, 2018

A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning.

[BibT_eX]

[DOI]

Nicolas Ballas

CoRR, 2018

Composable Planning with Attributes.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Decoupling Dynamics and Reward for Transfer Learning.

[BibT_eX]

[DOI]

Harsh Satija