December, 2024

December, 2024

The Role of Human-in-the-Loop Preferences in Reward Function Learning for Humanoid Tasks
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

Tracking Reward Function Improvement with Proxy Human Preferences in ICPL
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

Few-shot In-Context Preference Learning Using Large Language Models: Environment Details
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

ICPL Baseline Methods: Disagreement Sampling and PrefPPO for Reward Learning
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

Few-shot In-Context Preference Learning Using Large Language Models: Full Prompts and ICPL Details
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

How ICPL Enhances Reward Function Efficiency and Tackles Complex RL Tasks
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

Scientists Use Human Preferences to Train AI Agents 30x Faster
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References...

How ICPL Addresses the Core Problem of RL Reward Design
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References...

How Do We Teach Reinforcement Learning Agents Human Preferences?
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References...

Hacking Reinforcement Learning with a Little Help from Humans (and LLMs)
Table of Links Abstract and Introduction Related Work Problem Definition Method Experiments Conclusion and References \ A. Appendix A.1. Full Prompts and A.2 ICPL Details A. 3 Baseline Details A.4...

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