Methods

Exponential Smoothing for Off-Policy Learning ICML 2023 Extreme Q-Learning: MaxEnt RL without Entropy ICLR 2023 F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023 Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach ACL 2023 Facing Off World Model Backbones: RNNs, Transformers, and S4 NeurIPS 2023 Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback ACL 2023 FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning AAAI 2023 Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NeurIPS 2023 Fast Counterfactual Inference for History-Based Reinforcement Learning AAAI 2023 Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning ACML 2023 Fast Offline Policy Optimization for Large Scale Recommendation AAAI 2023 Fast Rates for Maximum Entropy Exploration ICML 2023 FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing CoRL 2023 Fast Teammate Adaptation in the Presence of Sudden Policy Change UAI 2023 Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues EACL 2023 Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CoRL 2023 Finding Mixed-Strategy Equilibria of Continuous-Action Games without Gradients Using Randomized Policy Networks IJCAI 2023 Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023 Finding Safe Zones of Markov Decision Processes Policies NeurIPS 2023 Fine-Grained Human Feedback Gives Better Rewards for Language Model Training NeurIPS 2023 Finetuning Offline World Models in the Real World CoRL 2023 Finite-sample guarantees for Nash Q-learning with linear function approximation UAI 2023 Finite-Time Analysis of Single-Timescale Actor-Critic NeurIPS 2023 Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023 Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NeurIPS 2023