:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Katdare, Pulkit, Joshi, Anant, Driggs-Campbell, Katherine
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2403.01605
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
by: Chen, Haonan, et al.
Published: (2025)

Cooperative Advisory Residual Policies for Congestion Mitigation
by: Hasan, Aamir, et al.
Published: (2024)

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
by: Liu, Shuijing, et al.
Published: (2024)

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
by: Liu, Shuijing, et al.
Published: (2020)

An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
by: Ji, Tianchen, et al.
Published: (2025)

Multi-Modal Manipulation via Multi-Modal Policy Consensus
by: Chen, Haonan, et al.
Published: (2025)

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments
by: Liu, Shuijing, et al.
Published: (2024)

Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
by: Xiao, Minheng, et al.
Published: (2024)

Going Beyond Heuristics by Imposing Policy Improvement as a Constraint
by: Lee, Chi-Chang, et al.
Published: (2025)

Provable and Practical In-Context Policy Optimization for Self-Improvement
by: Yu, Tianrun, et al.
Published: (2026)

Leveraging Analytic Gradients in Provably Safe Reinforcement Learning
by: Walter, Tim, et al.
Published: (2025)

Transformers Provably Implement In-Context Reinforcement Learning with Policy Improvement
by: Liang, Haodong, et al.
Published: (2026)

How Log-Barrier Helps Exploration in Policy Optimization
by: Cesani, Leonardo, et al.
Published: (2026)

Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning
by: Goodall, Alexander W., et al.
Published: (2025)

SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning
by: Anisimov, Maksim, et al.
Published: (2026)

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)

Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
by: Jordan, Philip, et al.
Published: (2024)

A Brief Survey on Leveraging Large Scale Vision Models for Enhanced Robot Grasping
by: Kamboj, Abhi, et al.
Published: (2024)

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
by: Liu, Xiangyu, et al.
Published: (2023)

Learning General Policies with Policy Gradient Methods
by: Ståhlberg, Simon, et al.
Published: (2025)

A Multi-Component AI Framework for Computational Psychology: From Robust Predictive Modeling to Deployed Generative Dialogue
by: Pareek, Anant
Published: (2025)

Policy Gradient with Kernel Quadrature
by: Hayakawa, Satoshi, et al.
Published: (2023)

Policy Gradient with Tree Expansion
by: Dalal, Gal, et al.
Published: (2023)

Agentic Retrieval of Topics and Insights from Earnings Calls
by: Gupta, Anant, et al.
Published: (2025)

Gradient Extrapolation-Based Policy Optimization
by: Swapnil, Ismam Nur, et al.
Published: (2026)

Partial Policy Gradients for RL in LLMs
by: Mathur, Puneet, et al.
Published: (2026)

Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
by: Liu, Rui, et al.
Published: (2024)

Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition
by: Luo, Shengcheng, et al.
Published: (2024)

Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?
by: Onoda, Ku, et al.
Published: (2026)

Policy Gradient for Robust Markov Decision Processes
by: Wang, Qiuhao, et al.
Published: (2024)

Logit Dynamics in Softmax Policy Gradient Methods
by: Li, Yingru
Published: (2025)

Measures of Variability for Risk-averse Policy Gradient
by: Luo, Yudong, et al.
Published: (2025)

Soft Deterministic Policy Gradient with Gaussian Smoothing
by: Na, Hyunjun, et al.
Published: (2026)

Sequential Policy Gradient for Adaptive Hyperparameter Optimization
by: Li, Zheng, et al.
Published: (2025)

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning
by: Agrawal, Pulkit, et al.
Published: (2025)

Provable Failure of Language Models in Learning Majority Boolean Logic via Gradient Descent
by: Chen, Bo, et al.
Published: (2025)

Delightful Policy Gradient
by: Osband, Ian
Published: (2026)

Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning Tasks
by: Campbell, Ryan, et al.
Published: (2024)

Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
by: Cho, Taehyun, et al.
Published: (2024)

LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently
by: Zhang, Yuanhe, et al.
Published: (2025)