Image de couverture de livre

Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Ziqi, Liu, Jiashun, Pan, Ling
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Neuroplastic Expansion in Deep Reinforcement Learning
par: Liu, Jiashun, et autres
Publié: (2024)

Reparameterization Proximal Policy Optimization
par: Zhong, Hai, et autres
Publié: (2025)

Reparameterization Flow Policy Optimization
par: Zhong, Hai, et autres
Publié: (2026)

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
par: Liu, Jiashun, et autres
Publié: (2025)

Performative Prediction with Bandit Feedback: Learning through Reparameterization
par: Chen, Yatong, et autres
Publié: (2023)

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling
par: Zhang, Yixian, et autres
Publié: (2025)

SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization
par: Zheng, Zhi, et autres
Publié: (2025)

Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function
par: Kang, Hyeongyu, et autres
Publié: (2025)

Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning
par: Liu, Jiashun, et autres
Publié: (2025)

Fitting networks with a cancellation trick
par: Jin, Jiashun, et autres
Publié: (2025)

Categorical Reparameterization with Denoising Diffusion models
par: Gourevitch, Samson, et autres
Publié: (2026)

Reparameterization invariance in approximate Bayesian inference
par: Roy, Hrittik, et autres
Publié: (2024)

Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
par: Liu, Jiashun, et autres
Publié: (2025)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
par: Liu, Tenglong, et autres
Publié: (2024)

Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learning
par: Zhang, Qingquan, et autres
Publié: (2025)

Diverse via bounded Agreement: Geometric Regularization for Multimodal Fusion
par: Xia, Zixuan, et autres
Publié: (2026)

MCNC: Manifold-Constrained Reparameterization for Neural Compression
par: Thrash, Chayne, et autres
Publié: (2024)

Reparameterization through Coverings and Topological Weight Priors
par: Beketov, Maxim, et autres
Publié: (2026)

Strategy and Skill Learning for Physics-based Table Tennis Animation
par: Wang, Jiashun, et autres
Publié: (2024)

Complementary Reinforcement Learning
par: Muhtar, Dilxat, et autres
Publié: (2026)

Importance Weighted Variational Inference without the Reparameterization Trick
par: Daudel, Kamélia, et autres
Publié: (2026)

Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures
par: Lin, Wu, et autres
Publié: (2019)

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
par: Ye, Zhenzhang, et autres
Publié: (2024)

Never Saddle for Reparameterized Steepest Descent as Mirror Flow
par: Jacobs, Tom, et autres
Publié: (2026)

Learning Diverse Policies with Soft Self-Generated Guidance
par: Wang, Guojian, et autres
Publié: (2024)

$\clubsuit$ CLOVER $\clubsuit$: Probabilistic Forecasting with Coherent Learning Objective Reparameterization
par: Olivares, Kin G., et autres
Publié: (2023)

Diffusion Posterior Sampling is Computationally Intractable
par: Gupta, Shivam, et autres
Publié: (2024)

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
par: Cheng, Jiashun, et autres
Publié: (2025)

Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics
par: Antipov, Egor, et autres
Publié: (2026)

Parameter-Efficient Fine-Tuning via Circular Convolution
par: Chen, Aochuan, et autres
Publié: (2024)

Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
par: Le, Minh, et autres
Publié: (2024)

Random Policy Evaluation Uncovers Policies of Generative Flow Networks
par: He, Haoran, et autres
Publié: (2024)

Policy Regularized Distributionally Robust Markov Decision Processes with Linear Function Approximation
par: Gu, Jingwen, et autres
Publié: (2025)

Hypercube Policy Regularization Framework for Offline Reinforcement Learning
par: Shen, Yi, et autres
Publié: (2024)

Data Diversity as Implicit Regularization: How Does Diversity Shape the Weight Space of Deep Neural Networks?
par: Ba, Yang, et autres
Publié: (2024)

Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate
par: Xu, Huangyu, et autres
Publié: (2026)

Reparameterizing 4DVAR with neural fields
par: Oh, Jaemin
Publié: (2025)

DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
par: Vali, Mohammad Hassan, et autres
Publié: (2025)

Reparameterized LLM Training via Orthogonal Equivalence Transformation
par: Qiu, Zeju, et autres
Publié: (2025)

Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods
par: Yang, Xiliang, et autres
Publié: (2024)