deep reinforcement learning

Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games IJCAI 2024 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games AISTATS 2024 Evaluating Transformer-Enhanced Deep Reinforcement Learning for Speech Emotion Recognition Interspeech 2024 Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models ICML 2024 Fast Value Tracking for Deep Reinforcement Learning ICLR 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NeurIPS 2024 Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing AAAI 2024 Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning AAAI 2024 Hierarchical Programmatic Option Framework NeurIPS 2024 Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search UAI 2024 Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning AAAI 2024 Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024 Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NeurIPS 2024 In-Flight Attitude Control of a Quadruped using Deep Reinforcement Learning CoRL 2024 Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract) AAAI 2024 Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models AAAI 2024 Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures ICLR 2024 INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer ICML 2024 i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance AAAI 2024 Learning and deploying robust locomotion policies with minimal dynamics randomization L4DC 2024 Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning ICML 2024 Learning Diverse Risk Preferences in Population-Based Self-Play AAAI 2024 Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret AAAI 2024 Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning CoRL 2024