{"total":16,"rows":[{"id":"2202.03825","title":"skrl: Modular and Flexible Library for Reinforcement Learning","created":"2022-02-08","cited_by_count":49,"area":null},{"id":"2111.02552","title":"Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies","created":"2021-11-03","cited_by_count":38,"area":null},{"id":"2206.00484","title":"DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems","created":"2022-05-30","cited_by_count":29,"area":null},{"id":"2209.07364","title":"Continuous MDP Homomorphisms and Homomorphic Policy Gradient","created":"2022-09-15","cited_by_count":27,"area":null},{"id":"2112.06061","title":"OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion","created":"2021-12-11","cited_by_count":10,"area":null},{"id":"2306.16688","title":"SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores","created":"2023-06-29","cited_by_count":10,"area":null},{"id":"2207.03952","title":"Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks","created":"2022-07-08","cited_by_count":6,"area":null},{"id":"2309.02976","title":"Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models","created":"2023-09-06","cited_by_count":5,"area":null},{"id":"2312.16248","title":"XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library","created":"2023-12-25","cited_by_count":5,"area":null},{"id":"2401.03546","title":"NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds","created":"2024-01-07","cited_by_count":4,"area":null},{"id":"2201.05242","title":"Neural Circuit Architectural Priors for Embodied Control","created":"2022-01-13","cited_by_count":3,"area":null},{"id":"2201.09568","title":"Pearl: Parallel Evolutionary and Reinforcement Learning Library","created":"2022-01-24","cited_by_count":3,"area":null},{"id":"2410.07174","title":"Neural Circuit Architectural Priors for Quadruped Locomotion","created":"2024-10-09","cited_by_count":2,"area":null},{"id":"2210.04820","title":"Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems","created":"2022-10-10","cited_by_count":0,"area":null},{"id":"2311.03711","title":"Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning","created":"2023-11-07","cited_by_count":0,"area":null},{"id":"2403.12076","title":"Neuron-centric Hebbian Learning","created":"2024-02-16","cited_by_count":0,"area":null}],"next_cursor":null}