{"total":25,"rows":[{"id":"2206.07568","title":"Contrastive Learning as Goal-Conditioned Reinforcement Learning","created":"2022-06-15","cited_by_count":253,"area":null},{"id":"2101.08862","title":"Breaking the Deadly Triad with a Target Network","created":"2021-01-21","cited_by_count":47,"area":null},{"id":"2102.07920","title":"Training Larger Networks for Deep Reinforcement Learning","created":"2021-02-16","cited_by_count":38,"area":null},{"id":"2201.12417","title":"Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error","created":"2022-01-28","cited_by_count":32,"area":null},{"id":"2110.07246","title":"HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism","created":"2021-10-14","cited_by_count":19,"area":null},{"id":"2206.04672","title":"Overcoming the Spectral Bias of Neural Value Approximation","created":"2022-06-09","cited_by_count":19,"area":null},{"id":"2112.03257","title":"Functional Regularization for Reinforcement Learning via Learned Fourier Features","created":"2021-12-06","cited_by_count":17,"area":null},{"id":"2310.19007","title":"Behavior Alignment via Reward Function Optimization","created":"2023-10-29","cited_by_count":16,"area":null},{"id":"2206.02126","title":"Learning Dynamics and Generalization in Reinforcement Learning","created":"2022-06-05","cited_by_count":14,"area":null},{"id":"2310.02147","title":"Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation","created":"2023-10-03","cited_by_count":14,"area":null},{"id":"2106.03955","title":"Correcting Momentum in Temporal Difference Learning","created":"2021-06-07","cited_by_count":12,"area":null},{"id":"2106.15419","title":"Convergent and Efficient Deep Q Network Algorithm","created":"2021-06-29","cited_by_count":8,"area":null},{"id":"2106.02613","title":"Bridging the Gap Between Target Networks and Functional Regularization","created":"2021-06-04","cited_by_count":7,"area":null},{"id":"2106.14993","title":"Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment","created":"2021-06-28","cited_by_count":6,"area":null},{"id":"2312.05397","title":"On the Performance of Temporal Difference Learning With Neural Networks","created":"2023-12-08","cited_by_count":6,"area":null},{"id":"2307.04887","title":"Measuring and Mitigating Interference in Reinforcement Learning","created":"2023-07-10","cited_by_count":5,"area":null},{"id":"2109.14419","title":"On the Estimation Bias in Double Q-Learning","created":"2021-09-29","cited_by_count":4,"area":null},{"id":"2301.13757","title":"Toward Efficient Gradient-Based Value Estimation","created":"2023-01-31","cited_by_count":4,"area":null},{"id":"2104.09620","title":"Predictor-Corrector(PC) Temporal Difference(TD) Learning (PCTD)","created":"2021-04-15","cited_by_count":1,"area":null},{"id":"2201.08610","title":"Deep Q-learning: a robust control approach","created":"2022-01-21","cited_by_count":1,"area":null},{"id":"2303.01391","title":"The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting","created":"2023-03-02","cited_by_count":1,"area":null},{"id":"2210.12282","title":"Bridging the Gap Between Target Networks and Functional Regularization","created":"2022-10-21","cited_by_count":0,"area":null},{"id":"2211.09726","title":"Deep Reinforcement Learning for IRS Phase Shift Design in Spatiotemporally Correlated Environments","created":"2022-11-02","cited_by_count":0,"area":null},{"id":"2212.10705","title":"Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning","created":"2022-12-21","cited_by_count":0,"area":null},{"id":"2302.13087","title":"Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation","created":"2023-02-25","cited_by_count":0,"area":null}],"next_cursor":null}