Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Supportby Anubha Mahajan, Shreya…
GNN-based Auto-Encoder for Short Linear Block Codes: A DRL Approachby Kou Tian, Chentao Yue, Changyang…
The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesisby Kee Siong…
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Artby Sebastian Peitz, Sedjro…
Hierarchical Object-Oriented POMDP Planning for Object Rearrangementby Rajesh Mangannavar, Alan Fern, Prasad TadepalliFirst submitted to…
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learningby Amber Cassimon, Siegfried Mercelis, Kevin…
Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspectiveby Jinouwen Zhang, Rongkun Xue, Yazhe Niu,…
Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-regulation over Large-scale Transportation…
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrationsby Cevahir Koprulu, Po-han Li, Tianyu Qiu,…
Bilinear Convolution Decomposition for Causal RL Interpretabilityby Narmeen Oozeer, Sinem Erisken, Alice RiggFirst submitted to…