传统图像版本变成策略版本,生成数据 generator 就是通过环境作出的决策,和专家决策轨迹判别 GAIL 对抗模仿学习 Generative Adversarial Imitation Learning 两者从框架看几乎一样
DDPO论文:Training Diffusion Models with Reinforcement Learning DDPO官方实现:GitHub - kvablack/ddpo-pytorch: DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support trl实现:Denoising Diffusion Policy Optimization 腾讯光子工作室使用RL训练生成二维码:用强化学习构建个性化的二维码 强化学...
论文Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning 的阅读。本文提出了一种名为VLM-RM的方法,使用预训练的视觉-语言模型(如CLIP)作为强化学习任务的奖励模型,以自然语言描述任务并避免手动设计奖励函数或收集昂贵的数据来学习奖励模型。实验结果显示,通过使用 VLM-RM,可以有效地训练代...
Kernel-Based Reinforcement Learning in Average-Cost Problems. Examines the use of kernel-based reinforcement learning in average-cost problems. Identification of optimal controls in Markov decision processes; Use of l... Ormoneit,Dirk,Glynn,... - 《IEEE Transactions on Automatic Control》 被引量:...
lowsamplecomplexitywhilelearningnearlyoptimalpolicies,buttheyaregenerallyrestrictedtofinitedomains.Mean-while,functionapproximationaddressescon-tinuousstatespacesbuttypicallyweak-ensconvergenceguarantees.Inthiswork,wedevelopanewalgorithmthatcombinesthestrengthsofKernel-BasedReinforcementLearning,whichfeaturesinstance-basedstate...
This article seeks to integrate two sets of theories describing action selection in the basal ganglia: reinforcement learning theories describing learning ... R Bogacz,T Larsen - 《Neural Computation》 被引量: 87发表: 2011年 The role of the basal ganglia in exploration in a neural model based ...
Reinforcement learning (RL) models have been influential in characterizing human learning and decision making, but few studies apply them to characterizing human spatial navigation and even fewer systematically compare RL models under different navigation requirements. Because RL can characterize one’s lear...
As a widely used machine learning method, reinforcement learning (RL) is a very effective way to solve decision and control problems where learning skills are needed. In this paper, a knowledge transfer method between multi-granularity models is proposed for RL to speed up the learning process ...
OpenAI 推出的 ChatGPT 对话模型掀起了新的 AI 热潮,它面对多种多样的问题对答如流,似乎已经打破了机器和人的边界。这一工作的背后是大型语言模型 (Large Language Model,LLM) 生成领域的新训练范式:RLHF (Reinforcement Learning from Human Feedback) ,即以强化学习方式依据人类反馈优化语言模型。
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factors to achieve human-level or super-human AI systems. On the other hand, both DL and RL have strong connections with our brain functions and with neuroscientific findings. In this review, we su...