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Deep RL

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Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures AISTATS 2024
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024
Sample Complexity Characterization for Linear Contextual MDPs AISTATS 2024
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract) AAAI 2024
Feasible $Q$-Learning for Average Reward Reinforcement Learning AISTATS 2024
PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction COLING 2024
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation NAACL 2024
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points IJCAI 2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning JMLR 2024
Virtual Action Actor-Critic Framework for Exploration (Student Abstract) AAAI 2024
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning NAACL 2024
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024
An Analysis of Quantile Temporal-Difference Learning JMLR 2024
Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization AISTATS 2024
Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models AAAI 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery AAAI 2024
Multi-world Model in Continual Reinforcement Learning AAAI 2024
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024
Deep Reinforcement Learning with Hierarchical Action Exploration for Dialogue Generation COLING 2024
Actor Prioritized Experience Replay (Abstract Reprint) AAAI 2024
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024
Value-Distributional Model-Based Reinforcement Learning JMLR 2024