Reinforcement Learning

A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024 ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL ICML 2024 A Reinforcement Learning Approach to Improve Low-Resource Machine Translation Leveraging Domain Monolingual Data COLING 2024 A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation AAAI 2024 ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback EMNLP 2024 A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics NeurIPS 2024 Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning NeurIPS 2024 ASID: Active Exploration for System Identification in Robotic Manipulation ICLR 2024 A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations NeurIPS 2024 A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data NeurIPS 2024 A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes ICML 2024 Assume-Guarantee Reinforcement Learning AAAI 2024 A Structure-Aware Framework for Learning Device Placements on Computation Graphs NeurIPS 2024 A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024 A Survey of Constraint Formulations in Safe Reinforcement Learning IJCAI 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 A Tractable Inference Perspective of Offline RL NeurIPS 2024 ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories ICML 2024 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024 AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games NeurIPS 2024 Augmented Bayesian Policy Search ICLR 2024 Augmenting Decision with Hypothesis in Reinforcement Learning ICML 2024 A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback ICML 2024 A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch NeurIPS 2024 AUTODRAITEC: An Infrastructure-Based AUTOnomous DRiving System Using Artificial Intelligence and TEleCommunication Technologies IJCAI 2024