Search Results for author: Jialong Wu

Found 7 papers, 5 papers with code

Agents: An Open-source Framework for Autonomous Language Agents

1 code implementation14 Sep 2023 Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan

Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language interfaces.

Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning

no code implementations29 May 2023 Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long

To tackle this issue, we introduce Contextualized World Models (ContextWM) that explicitly model both the context and dynamics to overcome the complexity and diversity of in-the-wild videos and facilitate knowledge transfer between distinct scenes.

Autonomous Driving Model-based Reinforcement Learning +2

CLIPood: Generalizing CLIP to Out-of-Distributions

1 code implementation2 Feb 2023 Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long

This paper aims at generalizing CLIP to out-of-distribution test data on downstream tasks.

Out-of-Dynamics Imitation Learning from Multimodal Demonstrations

1 code implementation13 Nov 2022 Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long

Existing imitation learning works mainly assume that the demonstrator who collects demonstrations shares the same dynamics as the imitator.

Imitation Learning

Real-Time And Robust 3D Object Detection with Roadside LiDARs

no code implementations11 Jul 2022 Walter Zimmer, Jialong Wu, Xingcheng Zhou, Alois C. Knoll

This work aims to address the challenges in autonomous driving by focusing on the 3D perception of the environment using roadside LiDARs.

Autonomous Driving Domain Adaptation +3

Flowformer: Linearizing Transformers with Conservation Flows

1 code implementation13 Feb 2022 Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long

By respectively conserving the incoming flow of sinks for source competition and the outgoing flow of sources for sink allocation, Flow-Attention inherently generates informative attentions without using specific inductive biases.

Time Series Time Series Analysis

Supported Policy Optimization for Offline Reinforcement Learning

3 code implementations13 Feb 2022 Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long

Policy constraint methods to offline reinforcement learning (RL) typically utilize parameterization or regularization that constrains the policy to perform actions within the support set of the behavior policy.

Offline RL reinforcement-learning +1

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