{"total":32,"rows":[{"id":"2110.01411","title":"Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey","created":"2021-09-28","cited_by_count":28,"area":null},{"id":"2106.07551","title":"MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning","created":"2021-06-05","cited_by_count":23,"area":null},{"id":"2212.11110","title":"Lifelong Reinforcement Learning with Modulating Masks","created":"2022-12-21","cited_by_count":22,"area":null},{"id":"2101.00240","title":"A Survey on Deep Reinforcement Learning for Audio-Based Applications","created":"2021-01-01","cited_by_count":17,"area":null},{"id":"2401.03244","title":"Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process","created":"2024-01-06","cited_by_count":11,"area":null},{"id":"2111.14422","title":"Agent-Centric Relation Graph for Object Visual Navigation","created":"2021-11-29","cited_by_count":10,"area":null},{"id":"2207.10839","title":"Robust Knowledge Adaptation for Dynamic Graph Neural Networks","created":"2022-07-22","cited_by_count":9,"area":null},{"id":"2101.09650","title":"GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning","created":"2021-01-24","cited_by_count":7,"area":null},{"id":"2310.00036","title":"Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform","created":"2023-09-29","cited_by_count":7,"area":null},{"id":"2106.08272","title":"Deep Reinforcement Learning for Conservation Decisions","created":"2021-06-15","cited_by_count":5,"area":null},{"id":"2102.07073","title":"Costly Features Classification using Monte Carlo Tree Search","created":"2021-02-14","cited_by_count":4,"area":null},{"id":"2212.00253","title":"Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox","created":"2022-12-01","cited_by_count":4,"area":null},{"id":"2309.13059","title":"Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education","created":"2023-09-09","cited_by_count":4,"area":null},{"id":"2102.13565","title":"Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision","created":"2021-02-26","cited_by_count":3,"area":null},{"id":"2312.15474","title":"A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning","created":"2023-12-24","cited_by_count":3,"area":null},{"id":"2101.02308","title":"Coding for Distributed Multi-Agent Reinforcement Learning","created":"2021-01-07","cited_by_count":2,"area":null},{"id":"2210.14524","title":"A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications","created":"2022-10-26","cited_by_count":2,"area":null},{"id":"2307.09631","title":"Deep Reinforcement Learning for ESG financial portfolio management","created":"2023-06-19","cited_by_count":2,"area":null},{"id":"2102.03138","title":"An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios","created":"2021-02-05","cited_by_count":1,"area":null},{"id":"2108.02551","title":"Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems","created":"2021-08-05","cited_by_count":1,"area":null},{"id":"2205.05248","title":"Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning","created":"2022-05-11","cited_by_count":1,"area":null},{"id":"2210.02882","title":"Scaling up Stochastic Gradient Descent for Non-convex Optimisation","created":"2022-10-06","cited_by_count":1,"area":null},{"id":"2210.09026","title":"WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments","created":"2022-10-14","cited_by_count":1,"area":null},{"id":"2102.02376","title":"A review of motion planning algorithms for intelligent robotics","created":"2021-02-04","cited_by_count":0,"area":null},{"id":"2109.00857","title":"Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm","created":"2021-09-02","cited_by_count":0,"area":null},{"id":"2109.06358","title":"A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems","created":"2021-09-13","cited_by_count":0,"area":null},{"id":"2111.01264","title":"Human-Level Control without Server-Grade Hardware","created":"2021-11-01","cited_by_count":0,"area":null},{"id":"2202.00360","title":"Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies","created":"2022-02-01","cited_by_count":0,"area":null},{"id":"2211.15023","title":"AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning","created":"2022-11-28","cited_by_count":0,"area":null},{"id":"2305.18501","title":"DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2307.12983","title":"Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation","created":"2023-07-24","cited_by_count":0,"area":null},{"id":"2506.17342","title":"Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning","created":"2025-06-19","cited_by_count":0,"area":null}],"next_cursor":null}