Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence.
J. Artif. Intell. Res., 2024
Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse.
Inf. Sci., 2024
FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
SEABO: A Simple Search-Based Method for Offline Imitation Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning.
CoRR, 2023
State Advantage Weighting for Offline RL.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Novel Standardized Representation Methods for Modular Service Robots.
Int. J. Soc. Robotics, 2022
Transformer: A New Paradigm for Building Data-Parallel Programming Models.
IEEE Micro, 2010