Jiau 微信公众号『机器感知』 [Policy-Guided Diffusion]: In many real-world settings, agents must learn from an offline dataset gathered by some prior behavior policy. Such a setting naturally leads to distribution shift between the behavior policy and the target policy being trained - requiring pol...
[data]$ wget https://diffusion-policy.cs.columbia.edu/data/training/pusht.zip Extract training data: [data]$ unzip pusht.zip && rm -f pusht.zip && cd .. Grab config file for the corresponding experiment: [diffusion_policy]$ wget -O image_pusht_diffusion_policy_cnn.yaml https://diffu...
26 【RLChina论文研讨会】第97期 陈华玉 Score Regularized Policy Optimization through Diffusion B 28:56 【RLChina论文研讨会】第97期 胡昊 基于贝叶斯原则的离线到在线强化学习 29:05 【RLChina论文研讨会】第90期 李英儒 Q* meets Thompson Sampling:Scaling up Exploration via Hyp 58:41 【RLChina论文研讨会...
在QGPO（Q-Guided Policy Optimization）中，我们利用了约束政策搜索的最优解。通过公式，我们可以发现最优策略可以被表示为条件分布的形式。对于Diffusion model，我们可以通过分类器引导（Classifier-guidance）的方式采样这个条件分布。具体实现时，只需将求解SDE/ODE过程中的score function替换为条件分布的sco...
【RLChina论文研讨会】第61期 竺正邦 MADiff:Offline Multi-agent Learning with Diffusion Models 28:38 【RLChina论文研讨会】第60期 杨梦月 从混合数据中分离出鲁棒的因果表征 28:10 【RLChina论文研讨会】第60期 张策尧 使用大型语言模型构建主动协作人工智能 33:39 【RLChina论文研讨会】第26期 万里鹏 ...
Specifically, our value-guided diffusion policy first generates plans to predict actions across various timesteps, providing ample foresight to the planning. It then employs a differentiable planner with state estimations to derive a value function, directing the agent's exploration and goal-...
Energy-Guided Diffusion Sampling 使用能量函数引导,顾名思义,就是在采样的同时不仅要考虑演示数据的分布(μ(a|s)),也要同时考虑能量函数(即Q,也就是要尽可能选Q值高的action)。形式化为: 考虑到 diffusion model 的采样是按照步数来的,则得出结论,我们在每一步denoising sampling的时候都要服从这样的分布,可以...
Left out: Policy Diffusion, Institutional Isomorphism, and the Exclusion of Black Workers from Unemployment InsuranceSocial workers, social scientists, and historians have long understood the US welfare state not as a purely redistributive ... Richard Rodems - 《Sswr》 被引量: 0发表: 2015年 left...
awesome-diffusion-policy-family Welcome to the Awesome Diffusion Policy Family repository! This collection aims to gather and organize representative research papers related to Diffusion Policies (DP) in robotics. 🚨 Note: Please be aware that the acceptance status of papers might not be up-to-dat...
【RLChina论文研讨会】第61期 竺正邦 MADiff:Offline Multi-agent Learning with Diffusion Models 28:38 【RLChina论文研讨会】第60期 杨梦月 从混合数据中分离出鲁棒的因果表征 28:10 【RLChina论文研讨会】第60期 张策尧 使用大型语言模型构建主动协作人工智能 33:39 【RLChina论文研讨会】第26期 万里鹏 ...