{"total":67,"rows":[{"id":"2103.14274","title":"Character Controllers Using Motion VAEs","created":"2021-03-26","cited_by_count":184,"area":null},{"id":"2312.08782","title":"Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis","created":"2023-12-14","cited_by_count":103,"area":null},{"id":"2105.12196","title":"From Motor Control to Team Play in Simulated Humanoid Football","created":"2021-05-25","cited_by_count":87,"area":null},{"id":"2506.10943","title":"Self-Adapting Language Models","created":"2025-06-12","cited_by_count":84,"area":null},{"id":"2109.00157","title":"A Survey of Exploration Methods in Reinforcement Learning","created":"2021-09-01","cited_by_count":73,"area":null},{"id":"2106.13105","title":"The Option Keyboard: Combining Skills in Reinforcement Learning","created":"2021-06-24","cited_by_count":67,"area":null},{"id":"2110.15360","title":"Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives","created":"2021-10-28","cited_by_count":65,"area":null},{"id":"2206.10680","title":"Learning Neuro-Symbolic Skills for Bilevel Planning","created":"2022-06-21","cited_by_count":58,"area":null},{"id":"2111.07999","title":"Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization","created":"2021-11-15","cited_by_count":46,"area":null},{"id":"2102.06741","title":"Discovery of Options via Meta-Learned Subgoals","created":"2021-02-12","cited_by_count":27,"area":null},{"id":"2210.03516","title":"Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery","created":"2022-10-06","cited_by_count":23,"area":null},{"id":"2106.16245","title":"How to Train Your MAML to Excel in Few-Shot Classification","created":"2021-06-30","cited_by_count":22,"area":null},{"id":"2110.04041","title":"Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity","created":"2021-10-08","cited_by_count":22,"area":null},{"id":"2208.08731","title":"Intelligent problem-solving as integrated hierarchical reinforcement learning","created":"2022-08-18","cited_by_count":21,"area":null},{"id":"2410.17351","title":"Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense","created":"2024-10-22","cited_by_count":17,"area":null},{"id":"2209.11553","title":"On Efficient Reinforcement Learning for Full-length Game of StarCraft II","created":"2022-09-23","cited_by_count":14,"area":null},{"id":"2210.13111","title":"Federated Learning and Meta Learning: Approaches, Applications, and Directions","created":"2022-10-24","cited_by_count":12,"area":null},{"id":"2404.16779","title":"DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks","created":"2024-04-25","cited_by_count":10,"area":null},{"id":"2505.23692","title":"Mobi-$\\pi$: Mobilizing Your Robot Learning Policy","created":"2025-05-29","cited_by_count":10,"area":null},{"id":"2105.00990","title":"Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials","created":"2021-05-03","cited_by_count":8,"area":null},{"id":"2109.09876","title":"Context-Specific Representation Abstraction for Deep Option Learning","created":"2021-09-20","cited_by_count":8,"area":null},{"id":"2211.14003","title":"Assistive Teaching of Motor Control Tasks to Humans","created":"2022-11-25","cited_by_count":8,"area":null},{"id":"2602.11779","title":"Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning","created":"2026-02-12","cited_by_count":8,"area":null},{"id":"2104.03936","title":"BR-NS: an Archive-less Approach to Novelty Search","created":"2021-04-08","cited_by_count":7,"area":null},{"id":"2206.03597","title":"Meta-Learning Parameterized Skills","created":"2022-06-07","cited_by_count":7,"area":null},{"id":"2207.11584","title":"Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning","created":"2022-07-23","cited_by_count":7,"area":null},{"id":"2209.15205","title":"ASPiRe:Adaptive Skill Priors for Reinforcement Learning","created":"2022-09-30","cited_by_count":7,"area":null},{"id":"2103.02957","title":"Toward Robust Long Range Policy Transfer","created":"2021-03-04","cited_by_count":6,"area":null},{"id":"2110.04357","title":"Training Transition Policies via Distribution Matching for Complex Tasks","created":"2021-10-08","cited_by_count":6,"area":null},{"id":"2211.13743","title":"SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration","created":"2022-11-24","cited_by_count":6,"area":null},{"id":"2305.15277","title":"Successor-Predecessor Intrinsic Exploration","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2106.13935","title":"Discovering Generalizable Skills via Automated Generation of Diverse Tasks","created":"2021-06-26","cited_by_count":5,"area":null},{"id":"2110.07510","title":"Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning","created":"2021-10-14","cited_by_count":5,"area":null},{"id":"2110.09507","title":"Provable Hierarchy-Based Meta-Reinforcement Learning","created":"2021-10-18","cited_by_count":5,"area":null},{"id":"2205.05230","title":"Developing cooperative policies for multi-stage reinforcement learning tasks","created":"2022-05-11","cited_by_count":4,"area":null},{"id":"2206.01812","title":"Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks","created":"2022-06-03","cited_by_count":4,"area":null},{"id":"2210.07426","title":"Skill-Based Reinforcement Learning with Intrinsic Reward Matching","created":"2022-10-14","cited_by_count":4,"area":null},{"id":"2211.13742","title":"Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems","created":"2022-11-24","cited_by_count":4,"area":null},{"id":"2110.01833","title":"Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies","created":"2021-10-05","cited_by_count":3,"area":null},{"id":"2101.09391","title":"Learning Setup Policies: Reliable Transition Between Locomotion Behaviours","created":"2021-01-23","cited_by_count":2,"area":null},{"id":"2102.00168","title":"Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm","created":"2021-01-30","cited_by_count":2,"area":null},{"id":"2107.14764","title":"Adaptive Approach Phase Guidance for a Hypersonic Glider via Reinforcement Meta Learning","created":"2021-07-30","cited_by_count":2,"area":null},{"id":"2109.01768","title":"Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms","created":"2021-09-04","cited_by_count":2,"area":null},{"id":"2204.02390","title":"Learning Pneumatic Non-Prehensile Manipulation with a Mobile Blower","created":"2022-04-05","cited_by_count":2,"area":null},{"id":"2305.12216","title":"On First-Order Meta-Reinforcement Learning with Moreau Envelopes","created":"2023-05-20","cited_by_count":2,"area":null},{"id":"2402.06501","title":"Scalable Interactive Machine Learning for Future Command and Control","created":"2024-02-09","cited_by_count":2,"area":null},{"id":"2606.20363","title":"Automating SKILL.md Generation for Computer-Using Agents via Interaction Trajectory Mining","created":"2026-06-18","cited_by_count":2,"area":null},{"id":"2107.03685","title":"Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning","created":"2021-07-08","cited_by_count":1,"area":null},{"id":"2112.08540","title":"Integrated Guidance and Control for Lunar Landing using a Stabilized Seeker","created":"2021-12-16","cited_by_count":1,"area":null},{"id":"2201.08520","title":"Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning","created":"2022-01-21","cited_by_count":1,"area":null},{"id":"2301.02375","title":"Centralized Cooperative Exploration Policy for Continuous Control Tasks","created":"2023-01-06","cited_by_count":1,"area":null},{"id":"2310.01569","title":"Iterative Option Discovery for Planning, by Planning","created":"2023-10-02","cited_by_count":1,"area":null},{"id":"2311.15960","title":"Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines","created":"2023-11-27","cited_by_count":1,"area":null},{"id":"2608.01851","title":"Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills","created":"2026-08-03","cited_by_count":1,"area":null},{"id":"2102.10527","title":"Delayed Rewards Calibration via Reward Empirical Sufficiency","created":"2021-02-21","cited_by_count":0,"area":null},{"id":"2108.10557","title":"Adaptation-Agnostic Meta-Training","created":"2021-08-24","cited_by_count":0,"area":null},{"id":"2202.00466","title":"Learning Invariable Semantical Representation from Language for Extensible Policy Generalization","created":"2022-01-26","cited_by_count":0,"area":null},{"id":"2203.15925","title":"Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach","created":"2022-03-29","cited_by_count":0,"area":null},{"id":"2206.05750","title":"Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning","created":"2022-06-12","cited_by_count":0,"area":null},{"id":"2207.00797","title":"Learning fast and agile quadrupedal locomotion over complex terrain","created":"2022-07-02","cited_by_count":0,"area":null},{"id":"2210.08003","title":"Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent","created":"2022-09-21","cited_by_count":0,"area":null},{"id":"2212.06967","title":"Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario","created":"2022-12-14","cited_by_count":0,"area":null},{"id":"2212.11726","title":"Reusable Options through Gradient-based Meta Learning","created":"2022-12-22","cited_by_count":0,"area":null},{"id":"2212.12786","title":"SHIRO: Soft Hierarchical Reinforcement Learning","created":"2022-12-24","cited_by_count":0,"area":null},{"id":"2308.00989","title":"Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning","created":"2023-08-02","cited_by_count":0,"area":null},{"id":"2309.13181","title":"Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning","created":"2023-09-22","cited_by_count":0,"area":null},{"id":"2406.01377","title":"Multi-Agent Transfer Learning via Temporal Contrastive Learning","created":"2024-06-03","cited_by_count":0,"area":null}],"next_cursor":null}