Co-occurring keywords · papers mentioning both
Papers
Reasoning with Exploration: An Entropy Perspective
AAAI 2026
φ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
ICLR 2025
Advantage Alignment Algorithms
ICLR 2025
Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective
ICML 2025
In-Context Reinforcement Learning From Suboptimal Historical Data
ICML 2025
MDP Geometry, Normalization and Reward Balancing Solvers
AISTATS 2025
Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
AISTATS 2025
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
ACL 2025
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
NeurIPS 2024
Learning Optimal Advantage from Preferences and Mistaking It for Reward
AAAI 2024
Skill or Luck? Return Decomposition via Advantage Functions
ICLR 2024
VA-learning as a more efficient alternative to Q-learning
ICML 2023
Safe Reinforcement Learning Using Advantage-Based Intervention
ICML 2021
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
ICLR 2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
NeurIPS 2019
Self-Critical N-Step Training for Image Captioning
CVPR 2019
Online Robust Policy Learning in the Presence of Unknown Adversaries
NeurIPS 2018
Regret Minimization for Partially Observable Deep Reinforcement Learning
ICML 2018
Dueling Network Architectures for Deep Reinforcement Learning
ICML 2016