Deep RL

Federated Ensemble-Directed Offline Reinforcement Learning NeurIPS 2024 Feedback Efficient Online Fine-Tuning of Diffusion Models ICML 2024 Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion EACL 2024 Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem ICML 2024 Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms. UAI 2024 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NeurIPS 2024 FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation IJCAI 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NeurIPS 2024 Flipping-based Policy for Chance-Constrained Markov Decision Processes NeurIPS 2024 Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning AAAI 2024 Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning ICML 2024 Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing AAAI 2024 From Past to Future: Rethinking Eligibility Traces AAAI 2024 From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning NeurIPS 2024 Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches – A Systematic Solution for Harbor Tugs IJCAI 2024 FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning ICML 2024 GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024 Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract) AAAI 2024 Generalized constraint for probabilistic safe reinforcement learning L4DC 2024 Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NeurIPS 2024 Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator IJCAI 2024 Goal-Conditioned On-Policy Reinforcement Learning NeurIPS 2024 Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning NeurIPS 2024 Gradient shaping for multi-constraint safe reinforcement learning L4DC 2024 Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning AAAI 2024