Reinforcement Learning

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NeurIPS 2024 Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices ICML 2024 Feedback Efficient Online Fine-Tuning of Diffusion Models ICML 2024 Feel-Good Thompson Sampling for Contextual Dueling Bandits ICML 2024 Feint Behaviors and Strategies: Formalization, Implementation and Evaluation NeurIPS 2024 FetchBench: A Simulation Benchmark for Robot Fetching CoRL 2024 FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning ICML 2024 Filtered Direct Preference Optimization EMNLP 2024 FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model EACL 2024 Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion EACL 2024 Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML 2024 Fine-Tuning Language Models with Reward Learning on Policy NAACL 2024 Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem ICML 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms. UAI 2024 Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024 Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning ICML 2024 Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation IJCAI 2024 Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation ICML 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 Fleet Supervisor Allocation: A Submodular Maximization Approach CoRL 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 Flow as the Cross-domain Manipulation Interface CoRL 2024