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06/06/2023
DreamSparse: Escaping from Plato's Cave with 2D Frozen Diffusion Model Given Sparse Views
Synthesizing novel view images from a few views is a challenging but pra...
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06/04/2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
In the field of reinforcement learning (RL), representation learning is ...
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05/19/2023
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
The progress of autonomous web navigation has been hindered by the depen...
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04/10/2023
Learning a Universal Human Prior for Dexterous Manipulation from Human Preference
Generating human-like behavior on robots is a great challenge especially...
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03/27/2023
Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning
Most successes in robotic manipulation have been restricted to single-ar...
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02/23/2023
Aligning Text-to-Image Models using Human Feedback
Deep generative models have shown impressive results in text-to-image sy...
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11/28/2022
Collective Intelligence for Object Manipulation with Mobile Robots
While natural systems often present collective intelligence that allows ...
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11/25/2022
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
The rise of generalist large-scale models in natural language and vision...
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10/20/2022
Large Language Models Can Self-Improve
Large Language Models (LLMs) have achieved excellent performances in var...
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10/11/2022
Mind's Eye: Grounded Language Model Reasoning through Simulation
Successful and effective communication between humans and AI relies on a...
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08/08/2022
Deep Billboards towards Lossless Real2Sim in Virtual Reality
An aspirational goal for virtual reality (VR) is to bring in a rich dive...
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07/20/2022
World Robot Challenge 2020 – Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator
Tidying up a household environment using a mobile manipulator poses vari...
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05/27/2022
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters
Motivated by the success of ensembles for uncertainty estimation in supe...
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05/24/2022
Large Language Models are Zero-Shot Reasoners
Pretrained large language models (LLMs) are widely used in many sub-fiel...
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01/28/2022
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
In this work, we study the use of the Bellman equation as a surrogate ob...
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01/28/2022
Can Wikipedia Help Offline Reinforcement Learning?
Fine-tuning reinforcement learning (RL) models has been challenging beca...
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12/01/2021
Tool as Embodiment for Recursive Manipulation
Humans and many animals exhibit a robust capability to manipulate divers...
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11/25/2021
VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field
Neural Radiance Field (NeRF) is a popular method in data-driven 3D recon...
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11/25/2021
Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization
Domain generalization (DG) is a difficult transfer learning problem aimi...
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11/19/2021
Generalized Decision Transformer for Offline Hindsight Information Matching
How to extract as much learning signal from each trajectory data has bee...
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10/10/2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization
The goal of continuous control is to synthesize desired behaviors. In re...
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06/12/2021
A Minimalist Approach to Offline Reinforcement Learning
Offline reinforcement learning (RL) defines the task of learning from a ...
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06/02/2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning
Learning to reach goal states and learning diverse skills through mutual...
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03/31/2021
Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms
Recently many algorithms were devised for reinforcement learning (RL) wi...
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03/23/2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Progress in deep reinforcement learning (RL) research is largely enabled...
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10/12/2020
Human-centric Dialog Training via Offline Reinforcement Learning
How can we train a dialog model to produce better conversations by learn...
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07/21/2020