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09/03/2023
Generative Social Choice
Traditionally, social choice theory has only been applicable to choices ...
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08/15/2023
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
Experimentation on real robots is demanding in terms of time and costs. ...
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07/28/2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Learning policies from previously recorded data is a promising direction...
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03/06/2023
Optimal Engagement-Diversity Tradeoffs in Social Media
Social media platforms are known to optimize user engagement with the he...
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02/27/2023
Eliciting Information from participants with Competing Incentives and Dependent Beliefs
In this paper, we study belief elicitation about an uncertain future eve...
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11/28/2022
Representation with Incomplete Votes
Platforms for online civic participation rely heavily on methods for con...
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05/19/2022
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks
This paper describes a deep reinforcement learning (DRL) approach that w...
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08/22/2021
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger
We present a system for learning a challenging dexterous manipulation ta...
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07/12/2021
Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning
Learning data representations that are useful for various downstream tas...
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04/29/2021
Regret Bounds for Gaussian-Process Optimization in Large Domains
The goal of this paper is to characterize Gaussian-Process optimization ...
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10/27/2020
On the Transfer of Disentangled Representations in Realistic Settings
Learning meaningful representations that disentangle the underlying stru...
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10/14/2020
Function Contrastive Learning of Transferable Representations
Few-shot-learning seeks to find models that are capable of fast-adaptati...
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10/08/2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Despite recent successes of reinforcement learning (RL), it remains a ch...
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08/08/2020
TriFinger: An Open-Source Robot for Learning Dexterity
Dexterous object manipulation remains an open problem in robotics, despi...
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07/13/2020
S2RMs: Spatially Structured Recurrent Modules
Capturing the structure of a data-generating process by means of appropr...
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09/30/2019
An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research
We present a new open-source torque-controlled legged robot system, with...
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06/07/2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Learning meaningful and compact representations with structurally disent...
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02/19/2016
Depth-Based Object Tracking Using a Robust Gaussian Filter
We consider the problem of model-based 3D-tracking of objects given dens...
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09/14/2015
Robust Gaussian Filtering using a Pseudo Measurement
Many sensors, such as range, sonar, radar, GPS and visual devices, produ...
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04/29/2015