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07/24/2023
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Pre-trained large language models (LLMs) have recently achieved better g...
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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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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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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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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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06/05/2020
