Value function interference and greedy action selection in value-based multi-objective reinforcement learningby Peter Vamplew, Cameron…
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Makingby Scotty Black, Christian DarkenFirst submitted…
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiencesby Nikhil Kumar Singh, Indranil…
Decision Theory-Guided Deep Reinforcement Learning for Fast Learningby Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed…
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Gamesby Hafez Ghaemi, Hamed Kebriaei, Alireza Ramezani…
Guided Evolution with Binary Discriminators for ML Program Searchby John D. Co-Reyes, Yingjie Miao, George…
Discovering Temporally-Aware Reinforcement Learning Algorithmsby Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange,…
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Sufficesby Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie…
Optimizing Delegation in Collaborative Human-AI Hybrid Teamsby Andrew Fuchs, Andrea Passarella, Marco ContiFirst submitted to…
Improving Token-Based World Models with Parallel Observation Predictionby Lior Cohen, Kaixin Wang, Bingyi Kang, Shie…