conftrace_

preference-based reinforcement learning

19 papers

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Also known as

PBRL

Co-occurring keywords

policy learning (702) supervised fine-tuning (381) human feedback (161) preference learning (418) reinforcement learning (4352) human preference (124) trajectory preference (3) cross-lingual emotion detection (16) multi-agent system (1819) vision-language model (2348)

Papers

S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning IJCAI 2025
PATeam at SemEval-2025 Task 10: Two-stage News Analytical Framework: Target-oriented Semantic Segmentation and Sequence Generation LLMs for Cross-Lingual Entity and Narrative Analysis SEMEVAL 2025
YNU-HPCC at SemEval-2025 Task 2: Local Cache and Online Retrieval-Based method for Entity-Aware Machine Translation ACL 2025
YNU-HPCC at SemEval-2025 Task 2: Local Cache and Online Retrieval-Based method for Entity-Aware Machine Translation SEMEVAL 2025
VLP: Vision-Language Preference Learning for Embodied Manipulation EMNLP 2025
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NIPS 2024
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms NIPS 2024
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning AAAI 2024
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated AAAI 2024
Reinforcement Learning from Diverse Human Preferences IJCAI 2024
Dueling RL: Reinforcement Learning with Trajectory Preferences AISTATS 2023
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards CORL 2023
Direct Preference-based Policy Optimization without Reward Modeling NIPS 2023
Inverse Preference Learning: Preference-based RL without a Reward Function NIPS 2023
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation ICML 2022
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NIPS 2022
Preference-based Reinforcement Learning with Finite-Time Guarantees NIPS 2020
A Survey of Preference-Based Reinforcement Learning Methods JMLR 2017
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013