conftrace_

reward maximization

21 papers

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Also known as

RM

Co-occurring keywords

reinforcement learning (4352) policy optimization (657) safe reinforcement learning (120) safety constraint (69) constraint satisfaction (294) multi-armed bandit (1098) language model (4599) recommender system (534) policy gradient (520) imitation learning (744)

Papers

Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025
Materials Discovery using Max K-Armed Bandit JMLR 2024
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning IJCAI 2024
KuaiSim: A Comprehensive Simulator for Recommender Systems NIPS 2023
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection AAAI 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization NIPS 2023
Imitating Past Successes can be Very Suboptimal NIPS 2022
Constrained Update Projection Approach to Safe Policy Optimization NIPS 2022
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms ICML 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting NIPS 2022
IPO: Interior-Point Policy Optimization under Constraints AAAI 2020
Guiding Deep Molecular Optimization with Genetic Exploration NIPS 2020
Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020
Keep CALM and Explore: Language Models for Action Generation in Text-based Games EMNLP 2020
Correlated Learning for Aggregation Systems UAI 2019
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation ACL 2018
Best-of-K-bandits COLT 2016
A Probabilistic Model of Social Decision Making based on Reward Maximization NIPS 2016
A Reinforcement Learning Theory for Homeostatic Regulation NIPS 2011
Online Learning with Sample Path Constraints JMLR 2009