Poster "deep reinforcement learning" Papers

14 papers found

Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics

Lorenzo Magnino, Kai Shao, Zida Wu et al.

NeurIPS 2025posterarXiv:2510.22158
2
citations

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

Chen Zhang, Qiang HE, Yuan Zhou et al.

ICML 2024poster

Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents

Chung-En Sun, Sicun Gao, Lily Weng

ICML 2024poster

DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems

Kaibo He, Chenhui Zuo, Chengtian Ma et al.

ICML 2024poster

In value-based deep reinforcement learning, a pruned network is a good network

Johan Obando Ceron, Aaron Courville, Pablo Samuel Castro

ICML 2024poster

INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer

Han Fang, Zhihao Song, Paul Weng et al.

ICML 2024poster

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Arvi Jonnarth, Jie Zhao, Michael Felsberg

ICML 2024poster

Learning the Target Network in Function Space

Kavosh Asadi, Yao Liu, Shoham Sabach et al.

ICML 2024poster

SHINE: Shielding Backdoors in Deep Reinforcement Learning

Zhuowen Yuan, Wenbo Guo, Jinyuan Jia et al.

ICML 2024poster

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Jesse Farebrother, Jordi Orbay, Quan Vuong et al.

ICML 2024poster

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization

Hyeonah Kim, Minsu Kim, Sungsoo Ahn et al.

ICML 2024poster

Understanding and Diagnosing Deep Reinforcement Learning

Ezgi Korkmaz

ICML 2024poster

Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation

Jiashun Liu, Jianye Hao, Yi Ma et al.

ICML 2024poster

Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning

Jin Hwa Lee, Stefano Mannelli, Andrew Saxe

ICML 2024poster