Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Criticsby Luca Grillotti,…
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversariesby Swetha Ganesh, Jiayu Chen, Gugan…
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverageby Kevin Tan, Ziping…
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learningby Zohar Rimon, Tom Jurgenson, Orr Krupnik,…
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learningby Zhishuai Liu, Pan…
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervisionby Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu,…
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysisby Rui Liu, Erfaun Noorani, Pratap TokekarFirst…
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learningby Nicholas Zolman, Urban Fasel, J. Nathan Kutz, Steven…
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learningby Jing Tan, Ramin Khalili, Holger KarlFirst submitted to…
HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedbackby Ang Li,…