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Deep RL

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PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation COLING 2022
TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph COLING 2022
SURF: Semantic-level Unsupervised Reward Function for Machine Translation NAACL 2022
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022
Optimizing Sequential Experimental Design with Deep Reinforcement Learning ICML 2022
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency ICML 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels ICML 2022
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs ICML 2022
Continuous Control with Action Quantization from Demonstrations ICML 2022
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation ICML 2022
Analysis of Stochastic Processes through Replay Buffers ICML 2022
Branching Reinforcement Learning ICML 2022
Provable Reinforcement Learning with a Short-Term Memory ICML 2022
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck ICML 2022
Generalized Data Distribution Iteration ICML 2022
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning ICML 2022
Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022
Fast Population-Based Reinforcement Learning on a Single Machine ICML 2022
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error ICML 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning ICML 2022
Retrieval-Augmented Reinforcement Learning ICML 2022
The State of Sparse Training in Deep Reinforcement Learning ICML 2022
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity ICML 2022
Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022