Redeeming Intrinsic Rewards via Constrained Optimization

Redeeming Intrinsic Rewards via Constrained Optimization

14 November 2022

Papers citing "Redeeming Intrinsic Rewards via Constrained Optimization"

15 / 15 papers shown

Title
Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping Rewards Grant C. Forbes Leonardo Villalobos-Arias Jianxun Wang Arnav Jhala David L. Roberts 16 0 0 16 Oct 2024
Automatic Environment Shaping is the Next Frontier in RL Younghyo Park G. Margolis Pulkit Agrawal OffRL 32 3 0 23 Jul 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
Constrained Intrinsic Motivation for Reinforcement Learning Xiang Zheng Xingjun Ma Chao Shen Cong Wang 21 1 0 12 Jul 2024
InsigHTable: Insight-driven Hierarchical Table Visualization with Reinforcement Learning Guozheng Li Peng He Xinyu Wang Runfei Li Chi Harold Liu Chuangxin Ou Dong He Guoren Wang 38 1 0 27 May 2024
Curiosity-driven Red-teaming for Large Language Models Zhang-Wei Hong Idan Shenfeld T. Wang Yung-Sung Chuang Aldo Pareja James R. Glass Akash Srivastava Pulkit Agrawal LRM 28 39 0 29 Feb 2024
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape Timothy R. McIntosh Teo Susnjak Tong Liu Paul Watters Malka N. Halgamuge 79 46 0 18 Dec 2023
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization Paul Seurin K. Shirvan 11 9 0 15 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 67 5 0 13 Dec 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 19 1 0 12 Oct 2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback M. Torné Max Balsells Zihan Wang Samedh Desai Tao Chen Pulkit Agrawal Abhishek Gupta 13 8 0 20 Jul 2023
TGRL: An Algorithm for Teacher Guided Reinforcement Learning Idan Shenfeld Zhang-Wei Hong Aviv Tamar Pulkit Agrawal 9 12 0 06 Jul 2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning Lukas Schafer Oliver Slumbers Stephen Marcus McAleer Yali Du Stefano V. Albrecht D. Mguni 61 7 0 07 Feb 2023
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior G. Margolis Pulkit Agrawal 11 149 0 06 Dec 2022
Multi-Objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading F. Cornalba C. Disselkamp Davide Scassola Christopher Helf 9 5 0 09 Mar 2022