Improving Generalization of Deep Reinforcement Learning-based TSP Solvers Oct 6, 2021 Deep Reinforcement Learning Graph Neural Network
— Unverified Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic Feb 13, 2020 Autonomous Driving Autonomous Vehicles
— Unverified Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions Oct 11, 2019 reinforcement-learning Reinforcement Learning
— Unverified Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning Jan 31, 2021 Computational Efficiency Decision Making
— Unverified Improving Hyperparameter Optimization by Planning Ahead Oct 15, 2021 Hyperparameter Optimization Model-based Reinforcement Learning
— Unverified Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning Apr 15, 2020 reinforcement-learning Reinforcement Learning
— Unverified Improving Interaction Quality Estimation with BiLSTMs and the Impact on Dialogue Policy Learning Jan 21, 2020 Reinforcement Learning Reinforcement Learning (RL)
— Unverified Improving Interactive Reinforcement Agent Planning with Human Demonstration Apr 18, 2019 reinforcement-learning Reinforcement Learning
— Unverified Improving interactive reinforcement learning: What makes a good teacher? Apr 15, 2019 reinforcement-learning Reinforcement Learning
— Unverified Improving Intrinsic Exploration with Language Abstractions Feb 17, 2022 reinforcement-learning Reinforcement Learning (RL)
— Unverified Improving Learning from Demonstrations by Learning from Experience Nov 16, 2021 Imitation Learning MuJoCo
— Unverified Improving Learning to Branch via Reinforcement Learning Jan 1, 2021 reinforcement-learning Reinforcement Learning
— Unverified Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning Jun 1, 2021 Offline RL Recommendation Systems
— Unverified Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation Feb 18, 2018 reinforcement-learning Reinforcement Learning
— Unverified Improving Mixed-Criticality Scheduling with Reinforcement Learning Apr 4, 2025 reinforcement-learning Reinforcement Learning
— Unverified Improving Model and Search for Computer Go Feb 6, 2021 Deep Reinforcement Learning model
— Unverified Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement Learning Nov 8, 2024 Language Modeling Language Modelling
— Unverified Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback Nov 21, 2022 Imitation Learning reinforcement-learning
— Unverified Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization Dec 24, 2024 Offline RL Reinforcement Learning (RL)
— Unverified Improving Neural Machine Translation for Sanskrit-English Dec 1, 2020 Machine Translation reinforcement-learning
— Unverified Improving Neural Relation Extraction with Positive and Unlabeled Learning Nov 28, 2019 reinforcement-learning Reinforcement Learning
— Unverified Improving Offline Reinforcement Learning with Inaccurate Simulators May 7, 2024 D4RL Generative Adversarial Network
— Unverified Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks Mar 16, 2020 Deep Reinforcement Learning reinforcement-learning
— Unverified Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents Mar 25, 2021 reinforcement-learning Reinforcement Learning
— Unverified Improving Policy Gradient by Exploring Under-appreciated Rewards Nov 28, 2016 Reinforcement Learning Reinforcement Learning (RL)
— Unverified Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym Feb 2, 2021 OpenAI Gym Reinforcement Learning (RL)
— Unverified Improving RL Exploration for LLM Reasoning through Retrospective Replay Apr 19, 2025 Code Generation Mathematical Reasoning
— Unverified Improving RNA Secondary Structure Design using Deep Reinforcement Learning Nov 5, 2021 Deep Reinforcement Learning reinforcement-learning
— Unverified Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training Oct 18, 2021 Decision Making reinforcement-learning
— Unverified Improving Robustness via Risk Averse Distributional Reinforcement Learning May 1, 2020 Distributional Reinforcement Learning reinforcement-learning
— Unverified Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Sep 29, 2021 continuous-control Continuous Control
— Unverified Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention Mar 22, 2019 reinforcement-learning Reinforcement Learning
— Unverified Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling Apr 28, 2020 Policy Gradient Methods reinforcement-learning
— Unverified Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking Aug 22, 2022 MuJoCo Reinforcement Learning (RL)
— Unverified Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers Feb 1, 2022 Deep Reinforcement Learning reinforcement-learning
— Unverified Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning Sep 25, 2019 Feature Engineering reinforcement-learning
— Unverified Improving Search through A3C Reinforcement Learning based Conversational Agent Sep 17, 2017 Q-Learning reinforcement-learning
— Unverified Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning Jan 15, 2019 Deep Reinforcement Learning Mixture-of-Experts
— Unverified Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning Mar 8, 2019 General Classification Question Answering
— Unverified Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning Jul 30, 2018 Deep Reinforcement Learning General Classification
— Unverified Improving Targeted Molecule Generation through Language Model Fine-Tuning Via Reinforcement Learning May 10, 2024 Drug Design Language Modeling
— Unverified Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning Nov 21, 2022 Behavioural cloning Reinforcement Learning (RL)
— Unverified Improving the dynamics of quantum sensors with reinforcement learning Aug 22, 2019 Position reinforcement-learning
— Unverified Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning Feb 27, 2025 Deep Reinforcement Learning Management
— Unverified Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions Dec 23, 2021 reinforcement-learning Reinforcement Learning (RL)
— Unverified Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search Oct 24, 2020 Deep Reinforcement Learning Model-based Reinforcement Learning
— Unverified Improving the generalizability and robustness of large-scale traffic signal control Jun 2, 2023 Deep Reinforcement Learning Distributional Reinforcement Learning
— Unverified Improving the Generalization of Visual Navigation Policies using Invariance Regularization Jan 1, 2020 Reinforcement Learning Reinforcement Learning (RL)
— Unverified Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training Dec 1, 2020 Diversity Referring Expression
— Unverified Improving Vision-Language-Action Model with Online Reinforcement Learning Jan 28, 2025 reinforcement-learning Reinforcement Learning
— Unverified 