{"total":15,"rows":[{"id":"2210.05805","title":"Exploration via Elliptical Episodic Bonuses","created":"2022-10-11","cited_by_count":51,"area":null},{"id":"2202.08938","title":"Improving Intrinsic Exploration with Language Abstractions","created":"2022-02-17","cited_by_count":49,"area":null},{"id":"2209.08890","title":"An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey","created":"2022-09-19","cited_by_count":28,"area":null},{"id":"2304.12877","title":"Proximal Curriculum for Reinforcement Learning Agents","created":"2023-04-25","cited_by_count":20,"area":null},{"id":"2103.09815","title":"TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL","created":"2021-03-17","cited_by_count":18,"area":null},{"id":"2110.03262","title":"Situated Dialogue Learning through Procedural Environment Generation","created":"2021-10-07","cited_by_count":9,"area":null},{"id":"2103.03798","title":"Training a First-Order Theorem Prover from Synthetic Data","created":"2021-03-05","cited_by_count":8,"area":null},{"id":"2309.14091","title":"On the Benefit of Optimal Transport for Curriculum Reinforcement Learning","created":"2023-09-25","cited_by_count":6,"area":null},{"id":"2207.09597","title":"Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments","created":"2022-07-19","cited_by_count":4,"area":null},{"id":"2306.13028","title":"Transferable Curricula through Difficulty Conditioned Generators","created":"2023-06-22","cited_by_count":4,"area":null},{"id":"2105.11977","title":"Towards Teachable Autotelic Agents","created":"2021-05-25","cited_by_count":2,"area":null},{"id":"2304.03535","title":"CRISP: Curriculum Inducing Primitive Informed Subgoal Prediction for Hierarchical Reinforcement Learning","created":"2023-04-07","cited_by_count":2,"area":null},{"id":"2310.04796","title":"Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning","created":"2023-10-07","cited_by_count":2,"area":null},{"id":"2305.16505","title":"Reward-Machine-Guided, Self-Paced Reinforcement Learning","created":"2023-05-25","cited_by_count":1,"area":null},{"id":"2209.11596","title":"Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning","created":"2022-09-23","cited_by_count":0,"area":null}],"next_cursor":null}