{"total":47,"rows":[{"id":"2210.14215","title":"In-context Reinforcement Learning with Algorithm Distillation","created":"2022-10-25","cited_by_count":190,"area":null},{"id":"2110.05038","title":"Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs","created":"2021-10-11","cited_by_count":122,"area":null},{"id":"2107.02729","title":"AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning","created":"2021-07-06","cited_by_count":48,"area":null},{"id":"2310.09971","title":"AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents","created":"2023-10-15","cited_by_count":41,"area":null},{"id":"2106.06842","title":"Recomposing the Reinforcement Learning Building Blocks with Hypernetworks","created":"2021-06-12","cited_by_count":35,"area":null},{"id":"2206.03271","title":"On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning","created":"2022-06-07","cited_by_count":19,"area":null},{"id":"2108.10273","title":"Collect & Infer -- a fresh look at data-efficient Reinforcement Learning","created":"2021-08-23","cited_by_count":17,"area":null},{"id":"2107.04200","title":"Safe Exploration by Solving Early Terminated MDP","created":"2021-07-09","cited_by_count":15,"area":null},{"id":"2105.13524","title":"Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture","created":"2021-05-28","cited_by_count":12,"area":null},{"id":"2205.14495","title":"Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges","created":"2022-05-28","cited_by_count":11,"area":null},{"id":"2506.05982","title":"MCA-Bench: A Multimodal Benchmark for Evaluating CAPTCHA Robustness Against VLM-based Attacks","created":"2025-06-06","cited_by_count":11,"area":null},{"id":"2209.13220","title":"Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning","created":"2022-09-27","cited_by_count":10,"area":null},{"id":"2305.00286","title":"Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning","created":"2023-04-29","cited_by_count":10,"area":null},{"id":"2310.08549","title":"Cross-Episodic Curriculum for Transformer Agents","created":"2023-10-12","cited_by_count":10,"area":null},{"id":"2311.02104","title":"Efficient Symbolic Policy Learning with Differentiable Symbolic Expression","created":"2023-11-02","cited_by_count":10,"area":null},{"id":"2101.04750","title":"Linear Representation Meta-Reinforcement Learning for Instant Adaptation","created":"2021-01-12","cited_by_count":9,"area":null},{"id":"2107.02378","title":"Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks","created":"2021-07-06","cited_by_count":9,"area":null},{"id":"2306.02418","title":"ContraBAR: Contrastive Bayes-Adaptive Deep RL","created":"2023-06-04","cited_by_count":9,"area":null},{"id":"2112.05848","title":"Faster Deep Reinforcement Learning with Slower Online Network","created":"2021-12-10","cited_by_count":7,"area":null},{"id":"2210.17011","title":"A picture of the space of typical learnable tasks","created":"2022-10-31","cited_by_count":7,"area":null},{"id":"2112.00478","title":"On the Practical Consistency of Meta-Reinforcement Learning Algorithms","created":"2021-12-01","cited_by_count":6,"area":null},{"id":"2112.00874","title":"Neural Stochastic Dual Dynamic Programming","created":"2021-12-01","cited_by_count":6,"area":null},{"id":"2204.02877","title":"PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations","created":"2022-04-06","cited_by_count":6,"area":null},{"id":"2112.07328","title":"Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning","created":"2021-12-14","cited_by_count":5,"area":null},{"id":"2207.02249","title":"Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning","created":"2022-07-05","cited_by_count":5,"area":null},{"id":"2207.09071","title":"Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks","created":"2022-07-19","cited_by_count":5,"area":null},{"id":"2208.00081","title":"Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis","created":"2022-07-29","cited_by_count":5,"area":null},{"id":"2210.01422","title":"Time-Varying Propensity Score to Bridge the Gap between the Past and Present","created":"2022-10-04","cited_by_count":5,"area":null},{"id":"2108.08448","title":"Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization","created":"2021-08-19","cited_by_count":4,"area":null},{"id":"2109.09031","title":"Hindsight Foresight Relabeling for Meta-Reinforcement Learning","created":"2021-09-18","cited_by_count":4,"area":null},{"id":"2110.04835","title":"Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games","created":"2021-10-10","cited_by_count":4,"area":null},{"id":"2211.10861","title":"Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation","created":"2022-11-20","cited_by_count":4,"area":null},{"id":"2312.06518","title":"Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills","created":"2023-12-11","cited_by_count":4,"area":null},{"id":"2411.00109","title":"Prospective Learning: Learning for a Dynamic Future","created":"2024-10-31","cited_by_count":4,"area":null},{"id":"2207.14723","title":"Meta Reinforcement Learning with Successor Feature Based Context","created":"2022-07-29","cited_by_count":3,"area":null},{"id":"2411.01166","title":"Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions","created":"2024-11-02","cited_by_count":3,"area":null},{"id":"2206.12520","title":"Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks","created":"2022-06-25","cited_by_count":2,"area":null},{"id":"2308.03175","title":"Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience","created":"2023-08-06","cited_by_count":2,"area":null},{"id":"2112.07222","title":"Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module","created":"2021-12-14","cited_by_count":1,"area":null},{"id":"2112.13934","title":"RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes","created":"2021-12-27","cited_by_count":1,"area":null},{"id":"2210.04209","title":"Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning","created":"2022-10-09","cited_by_count":1,"area":null},{"id":"2111.11030","title":"Reinforcement Learning for Few-Shot Text Generation Adaptation","created":"2021-11-22","cited_by_count":0,"area":null},{"id":"2210.15515","title":"Meta-Reinforcement Learning Using Model Parameters","created":"2022-10-27","cited_by_count":0,"area":null},{"id":"2306.15909","title":"RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$","created":"2023-06-28","cited_by_count":0,"area":null},{"id":"2307.06501","title":"Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning","created":"2023-07-13","cited_by_count":0,"area":null},{"id":"2403.05732","title":"Conservative DDPG -- Pessimistic RL without Ensemble","created":"2024-03-08","cited_by_count":0,"area":null},{"id":"2412.19064","title":"Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding","created":"2024-12-26","cited_by_count":0,"area":null}],"next_cursor":null}