Ruslan Salakhutdinov

papers

2,743

total citations

papers (27)

SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency

NEURIPS 2021arXiv

citations

Dissecting Adversarial Robustness of Multimodal LM Agents

ICLR 2025arXiv

citations

Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks

ICLR 2024arXiv

citations

Confronting Reward Model Overoptimization with Constrained RLHF

ICLR 2024arXiv

citations

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

NEURIPS 2023arXiv

citations

Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension

NEURIPS 2020arXiv

citations

Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification

NEURIPS 2021arXiv

citations

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

NEURIPS 2022arXiv

citations

Robust Predictable Control

NEURIPS 2021arXiv

citations

Neural Methods for Point-wise Dependency Estimation

NEURIPS 2020arXiv

citations

A Closer Look at Accuracy vs. Robustness

NEURIPS 2020arXiv

citations

Weakly-Supervised Reinforcement Learning for Controllable Behavior

NEURIPS 2020arXiv

citations

Imitating Past Successes can be Very Suboptimal

NEURIPS 2022arXiv

citations

PACS: A Dataset for Physical Audiovisual Commonsense Reasoning

ECCV 2022arXiv

citations

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks

NEURIPS 2022arXiv

citations

Paraphrasing Is All You Need for Novel Object Captioning

NEURIPS 2022arXiv

citations

SPRING: Studying Papers and Reasoning to play Games

NEURIPS 2023

citations

Planning with General Objective Functions: Going Beyond Total Rewards

NEURIPS 2020

citations

Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision

ICCV 2021

citations

Ruslan Salakhutdinov

papers (27)

Object Goal Navigation using Goal-Oriented Semantic Exploration

Neural Topological SLAM for Visual Navigation

Generating Images with Multimodal Language Models

Contrastive Learning as Goal-Conditioned Reinforcement Learning

On Reward-Free Reinforcement Learning with Linear Function Approximation

Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives

Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement

Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency

Dissecting Adversarial Robustness of Multimodal LM Agents

Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks

Confronting Reward Model Overoptimization with Constrained RLHF

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension

Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

Robust Predictable Control

Neural Methods for Point-wise Dependency Estimation

A Closer Look at Accuracy vs. Robustness

Weakly-Supervised Reinforcement Learning for Controllable Behavior

Imitating Past Successes can be Very Suboptimal

PACS: A Dataset for Physical Audiovisual Commonsense Reasoning

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks

Paraphrasing Is All You Need for Novel Object Captioning

SPRING: Studying Papers and Reasoning to play Games

Planning with General Objective Functions: Going Beyond Total Rewards

Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision

papers (27)

Object Goal Navigation using Goal-Oriented Semantic Exploration

Neural Topological SLAM for Visual Navigation

Generating Images with Multimodal Language Models

Contrastive Learning as Goal-Conditioned Reinforcement Learning

On Reward-Free Reinforcement Learning with Linear Function Approximation

Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives

Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement

Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency

Dissecting Adversarial Robustness of Multimodal LM Agents

Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks

Confronting Reward Model Overoptimization with Constrained RLHF

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension

Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

Robust Predictable Control

Neural Methods for Point-wise Dependency Estimation

A Closer Look at Accuracy vs. Robustness

Weakly-Supervised Reinforcement Learning for Controllable Behavior

Imitating Past Successes can be Very Suboptimal

PACS: A Dataset for Physical Audiovisual Commonsense Reasoning

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks

Paraphrasing Is All You Need for Novel Object Captioning

SPRING: Studying Papers and Reasoning to play Games

Planning with General Objective Functions: Going Beyond Total Rewards

Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision