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Policy Learning

2068 directly classified papers

Papers per year

Papers

Goal-Conditioned On-Policy Reinforcement Learning NIPS 2024
Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention AAAI 2024
Simplifying Constraint Inference with Inverse Reinforcement Learning NIPS 2024
Rating-Based Reinforcement Learning AAAI 2024
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
Learning Formal Mathematics From Intrinsic Motivation NIPS 2024
TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism EMNLP 2024
Solving Minimum-Cost Reach Avoid using Reinforcement Learning NIPS 2024
Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NIPS 2024
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024
Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis EMNLP 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
E2CL: Exploration-based Error Correction Learning for Embodied Agents EMNLP 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NIPS 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NIPS 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NIPS 2024
A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies EMNLP 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024
Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP 2024