Reinforcement Learning

Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning ICML 2022 Supervised Off-Policy Ranking ICML 2022 SURF: Semantic-level Unsupervised Reward Function for Machine Translation NAACL 2022 Tell me why! Explanations support learning relational and causal structure ICML 2022 Temporal Difference Learning for Model Predictive Control ICML 2022 Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022 Text Editing as Imitation Game EMNLP 2022 The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022 The Geometry of Robust Value Functions ICML 2022 The Importance of Non-Markovianity in Maximum State Entropy Exploration ICML 2022 The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning NeurIPS 2022 The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design NeurIPS 2022 The Primacy Bias in Deep Reinforcement Learning ICML 2022 The Role of Baselines in Policy Gradient Optimization NeurIPS 2022 Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation AISTATS 2022 TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph COLING 2022 Towards an Understanding of Default Policies in Multitask Policy Optimization AISTATS 2022 Towards a Progression-Aware Autonomous Dialogue Agent NAACL 2022 Towards a Standardised Performance Evaluation Protocol for Cooperative MARL NeurIPS 2022 Towards Automating the Generation of Human-Robot Interaction Scenarios AAAI 2022 Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022 Towards Off-Policy Learning for Ranking Policies with Logged Feedback AAAI 2022 Towards Return Parity in Markov Decision Processes AISTATS 2022 Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation AISTATS 2022 Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation EMNLP 2022