2024 Poster "deep reinforcement learning" Papers

13 papers found

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

Chen Zhang, Qiang HE, Yuan Zhou et al.

ICML 2024posterarXiv:2406.01103

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

Chung-En Sun, Sicun Gao, Lily Weng

ICML 2024posterarXiv:2406.18062

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

Kaibo He, Chenhui Zuo, Chengtian Ma et al.

ICML 2024posterarXiv:2407.11472

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

Johan Obando Ceron, Aaron Courville, Pablo Samuel Castro

ICML 2024posterarXiv:2402.12479

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

Han Fang, Zhihao Song, Paul Weng et al.

ICML 2024posterarXiv:2402.02317

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Arvi Jonnarth, Jie Zhao, Michael Felsberg

ICML 2024posterarXiv:2306.16978

Learning the Target Network in Function Space

Kavosh Asadi, Yao Liu, Shoham Sabach et al.

ICML 2024posterarXiv:2406.01838

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 2024posterarXiv:2403.03950

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

Hyeonah Kim, Minsu Kim, Sungsoo Ahn et al.

ICML 2024posterarXiv:2306.01276

Understanding and Diagnosing Deep Reinforcement Learning

Ezgi Korkmaz

ICML 2024posterarXiv:2406.16979

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 2024posterarXiv:2402.18361