04:51

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

04:47

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

03:01

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

04:47

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

07:55

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

12:51

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

13:52

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

19:10

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

16:07

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

08:10

PLATO: Predicting Latent Affordances through Object Centric Play

15:03

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

10:02

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

05:01

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

04:00

ICRA22 talk for 'Weakly Supervised Correspondence Learning'

03:56

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

11:09

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

14:29

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

12:59

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

11:02

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

13:44

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

13:58

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

03:55

Learning Reward Functions from Scale Feedback

03:42

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams

04:17

Learning Multimodal Rewards from Rankings

09:02

PantheonRL: A MARL Library for Dynamic Training Interactions

02:53

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

14:08

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

03:37

Learning How to Dynamically Route Autonomous Vehicles on Shared Roads

04:49

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

11:58

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

02:49

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

11:01

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

13:05

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

12:29

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

09:40

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

04:59

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

04:22

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

05:04

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

45:08

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

13:19

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

06:23

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

13:19

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

13:50

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

00:56

Learning User-Preferred Mappings for Intuitive Robot Control

48:31

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

48:15

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

38:55

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

32:54

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

16:46

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

28:47

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

41:40

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

31:12

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

03:00

Multi-Agent Safe Planning with Gaussian Processes

05:00

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

05:01

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

05:01

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

05:01

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

27:43

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

01:19:13

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

56:01

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