TensorFlow是一个基于数据流编程(dataflow programming)的符号数学系统,被广泛应用于各类机器学习(machine learning)算法的编程实现,其前身是谷歌的神经网络算法库DistBelief。 Tensorflow拥有多层级结构,可部署于各类服务器、PC终端和网页并支持GPU和TPU高性能数值计算,被广泛应用于谷歌内部的产品开发和各领域的科学研究。 Te...
To address these challenges we introduce CoBeL-RL, a closed-loop simulator of complex behavior and learning based on RL and deep neural networks. It provides a neuroscience- oriented framework for effiently setting up and running simulations. CoBeL-RL offers a set of virtu...
Reward-free RL via Sample-Efficient Representation Learning 讲座摘要:As reward-free reinforcement learning (RL) becomes a powerful framework for a variety of multi-objective applications, representation learning arises as an effective technique to deal with the curse of dimensionality in reward-free RL...
【RLChina 2024】讲习班04 林润基 Introduction to RL(HF) in Large Language Models, 视频播放量 1091、弹幕量 0、点赞数 15、投硬币枚数 6、收藏人数 24、转发人数 8, 视频作者 RLChina强化学习社区, 作者简介 ,相关视频:【RLChina 2024】讲习班10 覃洪杨 强化学习实践
论文地址:https://team.doubao.com/zh/publication/hybridflow-a-flexible-and-efficient-rlhf-framework?view_from=research 代码链接:https://github.com/volcengine/veRL RL(Post-Training)复杂计算流程给 LLM 训练带来全新的挑战 在深度学习中,数据流(DataFlow)是一种重要的计算模式抽象,用于表示数据经过一系列复...
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark Robohive: A unified framework for robot learning Writing simplified and portable RL codebase with TensorDict RL algorithms are very...
HybridFlow: A Flexible and Efficient RLHF Framework 论文链接:https://team.doubao.com/zh/publication/hybridflow-a-flexible-and-efficient-rlhf-framework?view_from=research 代码链接:https://github.com/volcengine/veRL 1. RL(Post-Training)复杂计算流程给 LLM 训练带来全新的挑战 ...
论文地址:https://team.doubao.com/zh/publication/hybridflow-a-flexible-and-efficient-rlhf-framework?view_from=research 代码链接:https://github.com/volcengine/veRL RL(Post-Training)复杂计算流程给 LLM 训练带来全新的挑战 在...
A Japanese (Riichi) Mahjong AI Framework mahjongmachine-learningreinforcement-learningdeep-learningtransformersdeep-reinforcement-learningtransformerdqnbehavioral-cloningimitation-learninggame-aicurriculum-learningjapanese-mahjongriichi-mahjongmahjong-aimajsoulmahjong-souloffline-rloffline-reinforcement-learning ...
Conceptually, reinforcement learning (RL) aims to emulate the way that human beings learn: AI agents learn holistically through trial and error, motivated by strong incentives to succeed. To put that strategy into practice, a mathematical framework for reinforcement learning comprises the following comp...