Канал: Stanford ILIAD

Bidipta Sarkar's talk on "Diverse Conventions for Human-AI Collaboration"

Bidipta Sarkar's talk on "Diverse Conventions for Human-AI Collaboration"

Megha Srivastava's talk on "Generating Language Corrections for Teaching Physical Control Tasks"

Megha Srivastava's talk on "Generating Language Corrections for Teaching Physical Control Tasks"

Supplemental video for "In-Mouth Robotic Bite Transfer With Visual and Haptic Sensing"

Supplemental video for "In-Mouth Robotic Bite Transfer With Visual and Haptic Sensing"

Minae Kwon's talk on "Reward Design with Language Models"

Minae Kwon's talk on "Reward Design with Language Models"

Siddharth Karamcheti's talk on "Online Language Corrections for Robotics via Shared Autonomy"

Siddharth Karamcheti's talk on "Online Language Corrections for Robotics via Shared Autonomy"

Joey Hejna's Talk on "Few-Shot Preference-based RL"

Joey Hejna's Talk on "Few-Shot Preference-based RL"

Priya Sundaresan's talk on "Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding"

Priya Sundaresan's talk on "Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding"

Megha Srivastava's talk on "Assistive Teaching of Motor Control Tasks to Humans"

Megha Srivastava's talk on "Assistive Teaching of Motor Control Tasks to Humans"

Jennifer Grannen's talk on "Learning Bimanual Scooping Policies for Food Acquisition"

Jennifer Grannen's talk on "Learning Bimanual Scooping Policies for Food Acquisition"

PLATO: Predicting Latent Affordances through Object Centric Play

PLATO: Predicting Latent Affordances through Object Centric Play

Erik Brockbank's talk on Incorporate Advice from Artificial Agents when Making Physical Judgments

Erik Brockbank's talk on Incorporate Advice from Artificial Agents when Making Physical Judgments

Andy Shih's talk on "Conditional Imitation Learning for Multi Agent Games"

Andy Shih's talk on "Conditional Imitation Learning for Multi Agent Games"

Mark Beliaev's talk at ICML 2022 on "Imitation Learning by Estimating Expertise of Demonstrators"

Mark Beliaev's talk at ICML 2022 on "Imitation Learning by Estimating Expertise of Demonstrators"

Workshop on Learning from Diverse, Offline Data @ RSS

Workshop on Learning from Diverse, Offline Data @ RSS

ICRA22 talk for 'Weakly Supervised Correspondence Learning'

ICRA22 talk for 'Weakly Supervised Correspondence Learning'

ICRA talk for 'Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction'

ICRA talk for 'Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction'

Zihan Wang's Talk on "Learning from Imperfect Demonstrationsvia Adversarial Confidence Transfer"

Zihan Wang's Talk on "Learning from Imperfect Demonstrationsvia Adversarial Confidence Transfer"

BARS 2021

BARS 2021

Stanford ILIAD Live Stream

Stanford ILIAD Live Stream

Erdem Bıyık's Talk on "Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams" at AI-HRI

Erdem Bıyık's Talk on "Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams" at AI-HRI

Erdem Bıyık's Talk on "APReL: A Library for Active Preference-based Reward Learning Algorithms"

Erdem Bıyık's Talk on "APReL: A Library for Active Preference-based Reward Learning Algorithms"

Andy Shih's Talk on "HyperSPNs: Compact and Expressive Probabilistic Circuits"

Andy Shih's Talk on "HyperSPNs: Compact and Expressive Probabilistic Circuits"

Songyuan's Talk on "Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality"

Songyuan's Talk on "Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality"

Suvir Mirchandani's Talk on "ELLA: Exploration through Learned Language Abstraction" at NeurIPS 2021

Suvir Mirchandani's Talk on "ELLA: Exploration through Learned Language Abstraction" at NeurIPS 2021

Learning Reward Functions from Scale Feedback

Learning Reward Functions from Scale Feedback

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams

Learning Multimodal Rewards from Rankings

Learning Multimodal Rewards from Rankings

PantheonRL: A MARL Library for Dynamic Training Interactions

PantheonRL: A MARL Library for Dynamic Training Interactions

APReL: A Library for Active Preference-based Reward Learning Algorithms

APReL: A Library for Active Preference-based Reward Learning Algorithms

Woodrow Z. Wang's Talk at IJCAI 2021 on "Emergent Prosociality in Multi-Agent Games Through Gifting"

Woodrow Z. Wang's Talk at IJCAI 2021 on "Emergent Prosociality in Multi-Agent Games Through Gifting"

Learning How to Dynamically Route Autonomous Vehicles on Shared Roads

Learning How to Dynamically Route Autonomous Vehicles on Shared Roads

Minae Kwon's Talk at ICML 2021 on "Targeted Data Acquisition for Evolving Negotiation Agents"

Minae Kwon's Talk at ICML 2021 on "Targeted Data Acquisition for Evolving Negotiation Agents"

Kejun Li's Talk on Region of Interest Active Learning for Characterizing Exoskeleton Gait Pref's

Kejun Li's Talk on Region of Interest Active Learning for Characterizing Exoskeleton Gait Pref's

ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes

ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes

Minae Kwon and Zhangjie Cao's Talk on "Transfer Reinforcement Learning across Homotopy Classes"

Minae Kwon and Zhangjie Cao's Talk on "Transfer Reinforcement Learning across Homotopy Classes"

Mengxi Li's Talk at ICRA 2021 on "Learning Human Objectives from Sequences of Physical Corrections"

Mengxi Li's Talk at ICRA 2021 on "Learning Human Objectives from Sequences of Physical Corrections"

Zhangjie Cao's Talk on "Learning from Imperfect Demonstrations from Agents with Varying Dynamics"

Zhangjie Cao's Talk on "Learning from Imperfect Demonstrations from Agents with Varying Dynamics"

Mark Beliaev's Talk on Incentivizing Routing Choices for Safe & Efficient Transport in the Pandemic

Mark Beliaev's Talk on Incentivizing Routing Choices for Safe & Efficient Transport in the Pandemic

Andy Shih's talk on "On the Critical Role of Conventions in Adaptive Human-AI Collaboration"

Andy Shih's talk on "On the Critical Role of Conventions in Adaptive Human-AI Collaboration"

Minae Kwon's Talk on "Influencing Leading and Following in Human-Robot Teams"

Minae Kwon's Talk on "Influencing Leading and Following in Human-Robot Teams"

Erdem Bıyık's Talk on "Learning how to Dynamically Route Autonomous Vehicles on Shared Roads"

Erdem Bıyık's Talk on "Learning how to Dynamically Route Autonomous Vehicles on Shared Roads"

BARS 2020

BARS 2020

Dorsa Sadigh's Keynote Talk at CoRL 2020 on "Walking the Boundary of Learning and Interaction"

Dorsa Sadigh's Keynote Talk at CoRL 2020 on "Walking the Boundary of Learning and Interaction"

Annie Xie's CoRL 2020 Talk on Learning Latent Representations to Influence Multi-Agent Interaction

Annie Xie's CoRL 2020 Talk on Learning Latent Representations to Influence Multi-Agent Interaction

Woodrow Z. Wang's Talk at RSS 2020 Workshop on Emergent Behaviors in Human-Robot Systems

Woodrow Z. Wang's Talk at RSS 2020 Workshop on Emergent Behaviors in Human-Robot Systems

Mengxi Li's Talk at IROS 2020 on Learning User-Preferred Mappings for Intuitive Robot Control

Mengxi Li's Talk at IROS 2020 on Learning User-Preferred Mappings for Intuitive Robot Control

Zheqing Zhu's Talk at IROS 2020 on Multi-Agent Safe Planning with Gaussian Processes

Zheqing Zhu's Talk at IROS 2020 on Multi-Agent Safe Planning with Gaussian Processes

Learning User-Preferred Mappings for Intuitive Robot Control

Learning User-Preferred Mappings for Intuitive Robot Control

Spotlight Talks at the RSS 2020 Workshop on Emergent Behaviors in Human-Robot Systems

Spotlight Talks at the RSS 2020 Workshop on Emergent Behaviors in Human-Robot Systems

Panel at the RSS 2020 Workshop on Emergent Behaviors in Human-Robot Systems

Panel at the RSS 2020 Workshop on Emergent Behaviors in Human-Robot Systems

Anca Dragan's Talk "Getting Interaction Strategies to Emerge from First Principles"

Anca Dragan's Talk "Getting Interaction Strategies to Emerge from First Principles"

Robert Hawkins's Talk "Cognitive Mechanisms for the Emergence of Social Norms and Conventions"

Robert Hawkins's Talk "Cognitive Mechanisms for the Emergence of Social Norms and Conventions"

Judy Fan's Talk "Emergence of Graphical Communication Protocols"

Judy Fan's Talk "Emergence of Graphical Communication Protocols"

Negar Mehr's Talk "Safe Robotic Interactions under Uncertainty through Risk-Sensitive Control"

Negar Mehr's Talk "Safe Robotic Interactions under Uncertainty through Risk-Sensitive Control"

Harold Soh's Talk "Trust in Human-Robot Collaboration"

Harold Soh's Talk "Trust in Human-Robot Collaboration"

Jakob Foerster's Talk "Self-Play and Zero-Shot (Human-AI) Coordination (in Hanabi)"

Jakob Foerster's Talk "Self-Play and Zero-Shot (Human-AI) Coordination (in Hanabi)"

Multi-Agent Safe Planning with Gaussian Processes

Multi-Agent Safe Planning with Gaussian Processes

Shushman's Talk on "Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints"

Shushman's Talk on "Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints"

Dylan Losey's Talk at RSS 2020 on "Shared Autonomy with Learned Latent Actions"

Dylan Losey's Talk at RSS 2020 on "Shared Autonomy with Learned Latent Actions"

Erdem Bıyık's Talk on "Active Preference-Based Gaussian Process Regression for Reward Learning"

Erdem Bıyık's Talk on "Active Preference-Based Gaussian Process Regression for Reward Learning"

Zhangjie Cao's Talk on "RL based Control of Imitative Policies for Near-Accident Driving"

Zhangjie Cao's Talk on "RL based Control of Imitative Policies for Near-Accident Driving"

Dylan Losey's Workshop Talk at ICRA 2020 on "Personalizing Robots through Learned Latent Actions"

Dylan Losey's Workshop Talk at ICRA 2020 on "Personalizing Robots through Learned Latent Actions"

Andrea Bajcsy's Talk on "Introspective Human Motion Prediction for Safe Robot Autonomy"

Andrea Bajcsy's Talk on "Introspective Human Motion Prediction for Safe Robot Autonomy"

Shreyas Kousik's Talk on "Safe Robot Motion Planning via Reachability Analysis"

Shreyas Kousik's Talk on "Safe Robot Motion Planning via Reachability Analysis"

Shared Autonomy with Learned Latent Actions

Shared Autonomy with Learned Latent Actions

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

Active Preference-Based Gaussian Process Regression for Reward Learning: Supplemental Video

Active Preference-Based Gaussian Process Regression for Reward Learning: Supplemental Video

Shushman Choudhury's Talk on "Efficient Large-Scale Multi-Agent Routing over Transit Networks"

Shushman Choudhury's Talk on "Efficient Large-Scale Multi-Agent Routing over Transit Networks"

Dorsa Sadigh's Keynote Talk at HSCC 2020 on "Human-CPS through the Lens of Learning and Control"

Dorsa Sadigh's Keynote Talk at HSCC 2020 on "Human-CPS through the Lens of Learning and Control"

Scott Niekum's Talk on "Scaling Probabilistically Safe Learning to Robotics"

Scott Niekum's Talk on "Scaling Probabilistically Safe Learning to Robotics"

Minae Kwon's Talk on "When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans"

Minae Kwon's Talk on "When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans"

Dylan Losey's Talk at ARA 19 on "Controlling Assistive Robots with Learned Latent Actions"

Dylan Losey's Talk at ARA 19 on "Controlling Assistive Robots with Learned Latent Actions"

When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans

When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans

Controlling Assistive Robots with Learned Latent Actions: Supplemental Video

Controlling Assistive Robots with Learned Latent Actions: Supplemental Video

Learning from My Partner's Actions: Roles in Decentralized Robot Teams

Learning from My Partner's Actions: Roles in Decentralized Robot Teams

Erdem Bıyık's Talk on "Asking Easy Questions: A User-Friendly Approach to Active Reward Learning"

Erdem Bıyık's Talk on "Asking Easy Questions: A User-Friendly Approach to Active Reward Learning"

Dylan Losey's Talk on "Learning from My Partner's Actions: Roles in Decentralized Robot Teams"

Dylan Losey's Talk on "Learning from My Partner's Actions: Roles in Decentralized Robot Teams"

Minae Kwon's Talk at RSS 2019 on "Influencing Leading and Following in Human-Robot Teams"

Minae Kwon's Talk at RSS 2019 on "Influencing Leading and Following in Human-Robot Teams"

Minae Kwon's Talk on "Learning Reward Functions by Integrating Human Demonstrations and Preferences"

Minae Kwon's Talk on "Learning Reward Functions by Integrating Human Demonstrations and Preferences"

Chelsea Finn's Talk on "Unsupervised Visuomotor Control through Distributional Planning Networks"

Chelsea Finn's Talk on "Unsupervised Visuomotor Control through Distributional Planning Networks"

Erdem Bıyık's Talk at CoRL 2018 on "Batch Active Preference-Based Learning of Reward Functions"

Erdem Bıyık's Talk at CoRL 2018 on "Batch Active Preference-Based Learning of Reward Functions"

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

Altruistic Autonomy: Beating Congestion on Shared Roads

Altruistic Autonomy: Beating Congestion on Shared Roads

Batch Active Preference-Based Learning of Reward Functions: Driver Task

Batch Active Preference-Based Learning of Reward Functions: Driver Task

Batch Active Preference-Based Learning of Reward Functions: Tosser Task

Batch Active Preference-Based Learning of Reward Functions: Tosser Task

Controlling Assistive Robots with Learned Latent Actions

Controlling Assistive Robots with Learned Latent Actions