{"total":75,"rows":[{"id":"2205.00824","title":"Exploration in Deep Reinforcement Learning: A Survey","created":"2022-05-02","cited_by_count":166,"area":null},{"id":"2307.13721","title":"Foundational Models Defining a New Era in Vision: A Survey and Outlook","created":"2023-07-25","cited_by_count":110,"area":null},{"id":"2109.00157","title":"A Survey of Exploration Methods in Reinforcement Learning","created":"2021-09-01","cited_by_count":73,"area":null},{"id":"2106.03894","title":"Differentiable Quality Diversity","created":"2021-06-07","cited_by_count":72,"area":null},{"id":"2202.03418","title":"Diversify and Disambiguate: Learning From Underspecified Data","created":"2022-02-07","cited_by_count":56,"area":null},{"id":"2109.00540","title":"Variational Quantum Reinforcement Learning via Evolutionary Optimization","created":"2021-09-01","cited_by_count":50,"area":null},{"id":"2211.16508","title":"Reinforced Genetic Algorithm for Structure-based Drug Design","created":"2022-11-28","cited_by_count":46,"area":null},{"id":"2206.04199","title":"Deep Surrogate Assisted Generation of Environments","created":"2022-06-09","cited_by_count":40,"area":null},{"id":"2202.03666","title":"Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning","created":"2022-02-08","cited_by_count":38,"area":null},{"id":"2109.05489","title":"Illuminating Diverse Neural Cellular Automata for Level Generation","created":"2021-09-12","cited_by_count":35,"area":null},{"id":"2509.24372","title":"Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning","created":"2025-09-29","cited_by_count":34,"area":null},{"id":"2303.00191","title":"pyribs: A Bare-Bones Python Library for Quality Diversity Optimization","created":"2023-03-01","cited_by_count":30,"area":null},{"id":"2303.04150","title":"Evolutionary Reinforcement Learning: A Survey","created":"2023-03-07","cited_by_count":29,"area":null},{"id":"2110.01411","title":"Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey","created":"2021-09-28","cited_by_count":28,"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":"2205.10752","title":"Covariance Matrix Adaptation MAP-Annealing","created":"2022-05-22","cited_by_count":25,"area":null},{"id":"2203.14009","title":"Combining Evolution and Deep Reinforcement Learning for Policy Search: a Survey","created":"2022-03-26","cited_by_count":23,"area":null},{"id":"2210.03516","title":"Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery","created":"2022-10-06","cited_by_count":23,"area":null},{"id":"2408.05804","title":"A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals","created":"2024-08-11","cited_by_count":23,"area":null},{"id":"2506.15196","title":"HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges","created":"2025-06-18","cited_by_count":21,"area":null},{"id":"2106.00669","title":"Discovering Diverse Nearly Optimal Policies with Successor Features","created":"2021-06-01","cited_by_count":20,"area":null},{"id":"2205.14345","title":"Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories","created":"2022-05-28","cited_by_count":20,"area":null},{"id":"2305.13795","title":"Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning","created":"2023-05-23","cited_by_count":20,"area":null},{"id":"2105.00371","title":"Discovering Diverse Athletic Jumping Strategies","created":"2021-05-02","cited_by_count":16,"area":null},{"id":"2102.05710","title":"Derivative-Free Reinforcement Learning: A Review","created":"2021-02-10","cited_by_count":15,"area":null},{"id":"2104.13997","title":"MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores","created":"2021-04-28","cited_by_count":15,"area":null},{"id":"2205.00293","title":"TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning","created":"2022-04-30","cited_by_count":15,"area":null},{"id":"2202.01258","title":"Accelerated Quality-Diversity through Massive Parallelism","created":"2022-02-02","cited_by_count":14,"area":null},{"id":"2304.13269","title":"Games for Artificial Intelligence Research: A Review and Perspectives","created":"2023-04-26","cited_by_count":14,"area":null},{"id":"2102.03140","title":"Sparse Reward Exploration via Novelty Search and Emitters","created":"2021-02-05","cited_by_count":13,"area":null},{"id":"2105.14900","title":"A unified view of likelihood ratio and reparameterization gradients","created":"2021-05-31","cited_by_count":12,"area":null},{"id":"2208.04957","title":"Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution","created":"2022-08-09","cited_by_count":12,"area":null},{"id":"2210.02622","title":"Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing","created":"2022-10-06","cited_by_count":10,"area":null},{"id":"2103.05147","title":"Model-free Policy Learning with Reward Gradients","created":"2021-03-09","cited_by_count":9,"area":null},{"id":"2102.11386","title":"Direct-Search for a Class of Stochastic Min-Max Problems","created":"2021-02-22","cited_by_count":7,"area":null},{"id":"2203.08015","title":"On-the-fly Strategy Adaptation for ad-hoc Agent Coordination","created":"2022-03-08","cited_by_count":7,"area":null},{"id":"2212.01939","title":"Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance","created":"2022-12-04","cited_by_count":7,"area":null},{"id":"2404.15794","title":"Large Language Models as In-context AI Generators for Quality-Diversity","created":"2024-04-24","cited_by_count":7,"area":null},{"id":"2308.05483","title":"Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in Robotics","created":"2023-08-10","cited_by_count":6,"area":null},{"id":"2105.07957","title":"Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers","created":"2021-05-17","cited_by_count":5,"area":null},{"id":"2106.08918","title":"Towards Automatic Actor-Critic Solutions to Continuous Control","created":"2021-06-16","cited_by_count":5,"area":null},{"id":"2303.12803","title":"Evolving Populations of Diverse RL Agents with MAP-Elites","created":"2023-03-09","cited_by_count":5,"area":null},{"id":"2202.08376","title":"How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity","created":"2022-02-16","cited_by_count":4,"area":null},{"id":"2211.13742","title":"Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems","created":"2022-11-24","cited_by_count":4,"area":null},{"id":"2203.10844","title":"Multitask Neuroevolution for Reinforcement Learning with Long and Short Episodes","created":"2022-03-21","cited_by_count":3,"area":null},{"id":"2104.04424","title":"Behavior-Guided Actor-Critic: Improving Exploration via Learning Policy Behavior Representation for Deep Reinforcement Learning","created":"2021-04-09","cited_by_count":2,"area":null},{"id":"2110.08122","title":"Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation","created":"2021-10-15","cited_by_count":2,"area":null},{"id":"2202.10464","title":"A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning","created":"2022-02-21","cited_by_count":2,"area":null},{"id":"2303.06137","title":"Enhancing MAP-Elites with Multiple Parallel Evolution Strategies","created":"2023-03-10","cited_by_count":2,"area":null},{"id":"2306.11535","title":"Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication","created":"2023-06-20","cited_by_count":2,"area":null},{"id":"2312.11331","title":"Density Descent for Diversity Optimization","created":"2023-12-18","cited_by_count":2,"area":null},{"id":"2501.15001","title":"What if Eye...? Computationally Recreating Vision Evolution","created":"2025-01-25","cited_by_count":2,"area":null},{"id":"2608.12679","title":"Beyond the Best Guess: Improving LLM Solution Coverage with Evolution Strategies","created":"2026-08-13","cited_by_count":2,"area":null},{"id":"2103.06846","title":"Policy Search with Rare Significant Events: Choosing the Right Partner to Cooperate with","created":"2021-03-11","cited_by_count":1,"area":null},{"id":"2103.10790","title":"Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring","created":"2021-03-19","cited_by_count":1,"area":null},{"id":"2110.00438","title":"Guiding Evolutionary Strategies by Differentiable Robot Simulators","created":"2021-10-01","cited_by_count":1,"area":null},{"id":"2111.06005","title":"Agent Spaces","created":"2021-11-11","cited_by_count":1,"area":null},{"id":"2202.09301","title":"Illuminating the Space of Dungeon Maps, Locked-door Missions and Enemy Placement Through MAP-Elites","created":"2022-02-18","cited_by_count":1,"area":null},{"id":"2206.06796","title":"Open-Ended Learning Strategies for Learning Complex Locomotion Skills","created":"2022-06-14","cited_by_count":1,"area":null},{"id":"2405.01261","title":"Continuously evolving rewards in an open-ended environment","created":"2024-05-02","cited_by_count":1,"area":null},{"id":"2510.18221","title":"The Emergence of Complex Behavior in Large-Scale Ecological Environments","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2101.07415","title":"ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces","created":"2021-01-19","cited_by_count":0,"area":null},{"id":"2202.06163","title":"Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost","created":"2022-02-12","cited_by_count":0,"area":null},{"id":"2210.06784","title":"Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning","created":"2022-10-13","cited_by_count":0,"area":null},{"id":"2211.12610","title":"Efficient Exploration using Model-Based Quality-Diversity with Gradients","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2212.03530","title":"Curiosity creates Diversity in Policy Search","created":"2022-12-07","cited_by_count":0,"area":null},{"id":"2302.14509","title":"Policy Dispersion in Non-Markovian Environment","created":"2023-02-28","cited_by_count":0,"area":null},{"id":"2304.13540","title":"Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search","created":"2023-04-20","cited_by_count":0,"area":null},{"id":"2308.00469","title":"Mirror Natural Evolution Strategies","created":"2023-08-01","cited_by_count":0,"area":null},{"id":"2412.10312","title":"Interlocking-free Selective Rationalization Through Genetic-based Learning","created":"2024-12-13","cited_by_count":0,"area":null},{"id":"2506.01568","title":"Trajectory First: A Curriculum for Discovering Diverse Policies","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2506.21573","title":"Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs","created":"2025-06-14","cited_by_count":0,"area":null},{"id":"2511.09923","title":"Harnessing Bounded-Support Evolution Strategies for Policy Refinement","created":"2025-11-13","cited_by_count":0,"area":null},{"id":"2604.27667","title":"Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2608.02073","title":"Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input","created":"2026-08-03","cited_by_count":0,"area":null}],"next_cursor":null}