{"list":"other","total":60,"rows":[{"id":"1707.06347","title":"Proximal Policy Optimization Algorithms","created":"2017-07-20","cited_by_count":15215},{"id":"1903.11027","title":"nuScenes: A multimodal dataset for autonomous driving","created":"2019-03-26","cited_by_count":4523},{"id":"1509.02971","title":"Continuous control with deep reinforcement learning","created":"2015-09-09","cited_by_count":3407},{"id":"1312.5602","title":"Playing Atari with Deep Reinforcement Learning","created":"2013-12-19","cited_by_count":3274},{"id":"1912.04838","title":"Scalability in Perception for Autonomous Driving: Waymo Open Dataset","created":"2019-12-10","cited_by_count":2451},{"id":"1711.03938","title":"CARLA: An Open Urban Driving Simulator","created":"2017-11-10","cited_by_count":2449},{"id":"1606.03476","title":"Generative Adversarial Imitation Learning","created":"2016-06-10","cited_by_count":1597},{"id":"1805.04687","title":"BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning","created":"2018-05-12","cited_by_count":1288},{"id":"1604.07316","title":"End to End Learning for Self-Driving Cars","created":"2016-04-25","cited_by_count":1009},{"id":"1705.10528","title":"Constrained Policy Optimization","created":"2017-05-30","cited_by_count":983},{"id":"2104.10133","title":"Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset","created":"2021-04-20","cited_by_count":537},{"id":"1705.05065","title":"AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles","created":"2017-05-15","cited_by_count":523},{"id":"1710.02410","title":"End-to-end Driving via Conditional Imitation Learning","created":"2017-10-06","cited_by_count":485},{"id":"2109.12674","title":"MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning","created":"2021-09-26","cited_by_count":290},{"id":"1807.00412","title":"Learning to Drive in a Day","created":"2018-07-01","cited_by_count":273},{"id":"1604.07446","title":"A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles","created":"2016-04-25","cited_by_count":254},{"id":"1505.00256","title":"DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving","created":"2015-05-01","cited_by_count":231},{"id":"2004.06320","title":"A2D2: Audi Autonomous Driving Dataset","created":"2020-04-14","cited_by_count":190},{"id":"2008.05930","title":"Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations","created":"2020-08-13","cited_by_count":153},{"id":"1901.10031","title":"Lyapunov-based Safe Policy Optimization for Continuous Control","created":"2019-01-28","cited_by_count":145},{"id":"2003.06404","title":"A Survey of End-to-End Driving: Architectures and Training Methods","created":"2020-03-13","cited_by_count":123},{"id":"2005.03778","title":"LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving","created":"2020-05-07","cited_by_count":121},{"id":"2109.08273","title":"ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning","created":"2021-09-17","cited_by_count":108},{"id":"1609.03250","title":"DESPOT: Online POMDP Planning with Regularization","created":"2016-09-12","cited_by_count":106},{"id":"1807.08048","title":"Baidu Apollo EM Motion Planner","created":"2018-07-20","cited_by_count":100},{"id":"1807.03776","title":"CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving","created":"2018-07-10","cited_by_count":97},{"id":"1605.06450","title":"Query-Efficient Imitation Learning for End-to-End Autonomous Driving","created":"2016-05-20","cited_by_count":84},{"id":"1806.06498","title":"Conditional Affordance Learning for Driving in Urban Environments","created":"2018-06-18","cited_by_count":70},{"id":"1906.08928","title":"Learning Reward Functions by Integrating Human Demonstrations and Preferences","created":"2019-06-21","cited_by_count":64},{"id":"2101.01993","title":"A Survey of Deep RL and IL for Autonomous Driving Policy Learning","created":"2021-01-06","cited_by_count":61},{"id":"2210.08451","title":"Bridging the Domain Gap for Multi-Agent Perception","created":"2022-10-16","cited_by_count":60},{"id":"2102.11585","title":"ROAD: The ROad event Awareness Dataset for Autonomous Driving","created":"2021-02-23","cited_by_count":54},{"id":"2203.13168","title":"Model-Agnostic Multi-Agent Perception Framework","created":"2022-03-24","cited_by_count":51},{"id":"1711.07300","title":"Optimization-Based Autonomous Racing of 1:43 Scale RC Cars","created":"2017-11-20","cited_by_count":50},{"id":"2103.10690","title":"Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving","created":"2021-03-19","cited_by_count":47},{"id":"2106.11118","title":"SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving","created":"2021-06-21","cited_by_count":43},{"id":"1810.01266","title":"Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information","created":"2018-09-29","cited_by_count":41},{"id":"2105.05701","title":"Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic","created":"2021-05-12","cited_by_count":41},{"id":"1909.06710","title":"Driving in Dense Traffic with Model-Free Reinforcement Learning","created":"2019-09-15","cited_by_count":35},{"id":"1607.02329","title":"Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments","created":"2016-07-08","cited_by_count":33},{"id":"1608.01230","title":"Learning a Driving Simulator","created":"2016-08-03","cited_by_count":33},{"id":"2110.13827","title":"Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization","created":"2021-10-26","cited_by_count":33},{"id":"2002.02667","title":"Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning","created":"2020-02-07","cited_by_count":31},{"id":"2208.07541","title":"Social Interactions for Autonomous Driving: A Review and Perspectives","created":"2022-08-16","cited_by_count":27},{"id":"2301.07325","title":"The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research","created":"2023-01-18","cited_by_count":27},{"id":"2109.12516","title":"Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving","created":"2021-09-26","cited_by_count":22},{"id":"1909.11538","title":"Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment","created":"2019-09-18","cited_by_count":21},{"id":"2111.06318","title":"Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic","created":"2021-11-11","cited_by_count":20},{"id":"2101.06778","title":"A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning","created":"2021-01-17","cited_by_count":18},{"id":"2206.03004","title":"Driving in Real Life with Inverse Reinforcement Learning","created":"2022-06-07","cited_by_count":18},{"id":"1707.00724","title":"Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning","created":"2017-07-03","cited_by_count":17},{"id":"2108.06038","title":"Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration","created":"2021-08-13","cited_by_count":17},{"id":"1801.06503","title":"Global overview of Imitation Learning","created":"2018-01-19","cited_by_count":16},{"id":"1803.01129","title":"OIL: Observational Imitation Learning","created":"2018-03-03","cited_by_count":11},{"id":"2203.06333","title":"Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles","created":"2022-03-12","cited_by_count":11},{"id":"2112.10593","title":"Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation","created":"2021-12-16","cited_by_count":10},{"id":"2201.06539","title":"Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning","created":"2022-01-17","cited_by_count":10},{"id":"2202.10124","title":"Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections","created":"2022-02-21","cited_by_count":4},{"id":"2302.12966","title":"SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving","created":"2023-02-25","cited_by_count":4},{"id":"2106.03836","title":"Tunable Trajectory Planner Using G3 Curves","created":"2021-06-07","cited_by_count":1}],"next_cursor":null}