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Policy Learning

2068 directly classified papers

Papers per year

Papers

The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models EMNLP 2024
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NIPS 2024
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use EMNLP 2024
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024
Resilient Constrained Reinforcement Learning AISTATS 2024
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NIPS 2024
Timing as an Action: Learning When to Observe and Act AISTATS 2024
A Grounded Preference Model for LLM Alignment ACL 2024
Reward Engineering for Generating Semi-structured Explanation EACL 2024
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics RSS 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NIPS 2024
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints RSS 2024
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment EMNLP 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NIPS 2024
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NIPS 2024
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback EMNLP 2024
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests EACL 2024
Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024
A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning AISTATS 2024
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024
Imitating Language via Scalable Inverse Reinforcement Learning NIPS 2024
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024
Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024
Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024