"deep reinforcement learning" Papers

Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning

Yunpeng Jiang, Jianshu Hu, Paul Weng et al.

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

Chen Zhang, Qiang HE, Yuan Zhou et al.

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System

Ruining Zhang, Haoran Han, Maolong Lv et al.

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

Chung-En Sun, Sicun Gao, Lily Weng

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

Guy Azran, Mohamad H Danesh, Stefano Albrecht et al.

Discerning Temporal Difference Learning

Distributional Bellman Operators over Mean Embeddings

Li Kevin Wenliang, Gregoire Deletang, Matthew Aitchison et al.

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

Kaibo He, Chenhui Zuo, Chengtian Ma et al.

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Lyudong Jin, Ming Tang, Meng Zhang et al.

Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning

Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram et al.

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

Johan Obando Ceron, Aaron Courville, Pablo Samuel Castro

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

Han Fang, Zhihao Song, Paul Weng et al.

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Arvi Jonnarth, Jie Zhao, Michael Felsberg

Learning the Target Network in Function Space

Kavosh Asadi, Yao Liu, Shoham Sabach et al.

SHINE: Shielding Backdoors in Deep Reinforcement Learning

Zhuowen Yuan, Wenbo Guo, Jinyuan Jia et al.

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

Jesse Farebrother, Jordi Orbay, Quan Vuong et al.

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

Hyeonah Kim, Minsu Kim, Sungsoo Ahn et al.

Task Planning for Object Rearrangement in Multi-Room Environments

Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.

Understanding and Diagnosing Deep Reinforcement Learning

Ezgi Korkmaz

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

Jiashun Liu, Jianye Hao, Yi Ma et al.

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

Jin Hwa Lee, Stefano Mannelli, Andrew Saxe