论文链接:Multifingered Grasping Based on Multimodal Reinforcement Learning 代码链接:/ 一、研究动机 多指抓取是机器人操作领域的一个重要且具有挑战性的问题。尽管双指抓取已被广泛研究并取得了令人满意的成功率,但多指抓取仍然远未解决。机器人社区开始期待机器人能够接近人类的操作能力,这使得解决多指抓取问题变得尤...
参考 ^Barret Zoph and Quoc V Le. 2016. Neural architecture search with reinforcementlearning.arXiv preprint arXiv:1611.01578(2016) ^Felix A Gers, Jürgen Schmidhuber, and Fred Cummins. 2000. Learning to forget:Continual prediction with LSTM.Neural computation12, 10 (2000), 2451–2471. ^Minlie ...
(1)使用常见的PPO RLHF(reinforcement learning from human feedback) 分为三个步骤 step1 我做你看:有监督学习,从训练集中挑出一批prompt,人工对prompt写答案。其实就是构造sft数据集进行微调。 step2 你做我看:奖励模型训练,这次不人工写答案了,而是让GPT或其他大模型给出几个候选答案,人工对其质量排序,Reward ...
This letter proposes a multimodal data-driven reinforcement learning-based method for operational decision-making in industrial processes. Due to the frequent fluctuations of feedstock properties and operating conditions in the industrial processes, existing data-driven methods cannot effectively adjust the op...
Reinforcement learning(强化学习) Multimodal RL(多模态强化学习) Fusion and co-learning(融合、协同学习和新趋势) New research directions(新的研究方向) Embodied Language Grounding Multimodal Human-inspired Language Learning(受人类启发的多模态语言学习) ...
-Reinforcement Learning This ML category involves the computer learning through interaction and feedback. While interacting with its surroundings, the machine receives rewards or penalties with each activity. -Online Learning During this ML, a data scientist updates the model as data emerges or becomes...
we explore the effectiveness of reinforcement learning in multimodal machine translation. We present a novel algorithm based on the Advantage Actor-Critic (A2C) algorithm that specifically cater to the multimodal machine translation task of the EMNLP 2018 Third Conference on Machine Translation (WMT18)...
We present a novel alignment strategy that employs multimodal AI system to oversee itself called Reinforcement Learning from AI Feedback (RLAIF), providing self-preference feedback to refine itself and facilitating the alignment of video and text modalities. In specific, we propose context-aware ...
Machine learning has been applied by more and more scholars in the field of quantitative investment, but traditional machine learning methods cannot provide high returns and strong stability at the same time. In this paper, a multimodal model based on reinforcement learning (RL) is constructed for...
Multimodal In-Context Learning Multimodal Chain-of-Thought LLM-Aided Visual Reasoning Foundation Models Evaluation Multimodal RLHF Others Awesome Datasets Datasets of Pre-Training for Alignment Datasets of Multimodal Instruction Tuning Datasets of In-Context Learning ...