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Policy Learning

2068 directly classified papers

Papers per year

Papers

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning EMNLP 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 2023
A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CORL 2023
Human-in-the-Loop Task and Motion Planning for Imitation Learning CORL 2023
State-Conditioned Adversarial Subgoal Generation AAAI 2023
Exploration in Reward Machines with Low Regret AISTATS 2023
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023
Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023
Struct-XLM: A Structure Discovery Multilingual Language Model for Enhancing Cross-lingual Transfer through Reinforcement Learning EMNLP 2023
Enhancing Task-oriented Dialogue Systems with Generative Post-processing Networks EMNLP 2023
Diversify Question Generation with Retrieval-Augmented Style Transfer EMNLP 2023
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning IJCAI 2023
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics ICML 2023
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning ICML 2023
On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling IJCAI 2023
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures ICML 2023
Boosting Offline Reinforcement Learning with Action Preference Query ICML 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL ICML 2023
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023
Transferable Curricula through Difficulty Conditioned Generators IJCAI 2023
On the Convergence of SARSA with Linear Function Approximation ICML 2023
Spotlight News Driven Quantitative Trading Based on Trajectory Optimization IJCAI 2023
Optimal Decision Tree Policies for Markov Decision Processes IJCAI 2023