{"total":23,"rows":[{"id":"2212.03319","title":"Understanding Self-Predictive Learning for Reinforcement Learning","created":"2022-12-06","cited_by_count":44,"area":null},{"id":"2510.12633","title":"Laminar: A Scalable Asynchronous RL Post-Training Framework","created":"2025-10-14","cited_by_count":37,"area":null},{"id":"2209.07550","title":"Human-level Atari 200x faster","created":"2022-09-15","cited_by_count":28,"area":null},{"id":"2312.05328","title":"Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding","created":"2023-12-08","cited_by_count":28,"area":null},{"id":"2106.10251","title":"Active Offline Policy Selection","created":"2021-06-18","cited_by_count":26,"area":null},{"id":"2207.13676","title":"Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization","created":"2022-07-27","cited_by_count":18,"area":null},{"id":"2306.15934","title":"Curious Replay for Model-based Adaptation","created":"2023-06-28","cited_by_count":16,"area":null},{"id":"2110.03363","title":"Evaluating model-based planning and planner amortization for continuous control","created":"2021-10-07","cited_by_count":15,"area":null},{"id":"2106.04516","title":"Launchpad: A Programming Model for Distributed Machine Learning Research","created":"2021-06-07","cited_by_count":14,"area":null},{"id":"2208.14307","title":"Beyond Supervised Continual Learning: a Review","created":"2022-08-30","cited_by_count":11,"area":null},{"id":"2112.09655","title":"Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report)","created":"2021-12-17","cited_by_count":9,"area":null},{"id":"2203.00715","title":"Learning Robust Real-Time Cultural Transmission without Human Data","created":"2022-03-01","cited_by_count":9,"area":null},{"id":"2210.06702","title":"A Mixture of Surprises for Unsupervised Reinforcement Learning","created":"2022-10-13","cited_by_count":9,"area":null},{"id":"2207.08583","title":"MAD for Robust Reinforcement Learning in Machine Translation","created":"2022-07-18","cited_by_count":7,"area":null},{"id":"2206.13901","title":"Value Function Decomposition for Iterative Design of Reinforcement Learning Agents","created":"2022-06-24","cited_by_count":6,"area":null},{"id":"2210.06012","title":"Phantom -- A RL-driven multi-agent framework to model complex systems","created":"2022-10-12","cited_by_count":5,"area":null},{"id":"2310.05205","title":"GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models","created":"2023-10-08","cited_by_count":5,"area":null},{"id":"2211.00576","title":"Event Tables for Efficient Experience Replay","created":"2022-11-01","cited_by_count":4,"area":null},{"id":"2106.11345","title":"Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations","created":"2021-06-21","cited_by_count":3,"area":null},{"id":"2301.12587","title":"Zero-Shot Transfer of Haptics-Based Object Insertion Policies","created":"2023-01-29","cited_by_count":2,"area":null},{"id":"2303.13808","title":"marl-jax: Multi-Agent Reinforcement Leaning Framework","created":"2023-03-24","cited_by_count":1,"area":null},{"id":"2501.05408","title":"Tempo: Compiled Dynamic Deep Learning with Symbolic Dependence Graphs","created":"2025-01-09","cited_by_count":1,"area":null},{"id":"2302.14451","title":"Hierarchical Reinforcement Learning in Complex 3D Environments","created":"2023-02-28","cited_by_count":0,"area":null}],"next_cursor":null}