Cover Image

Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deproost, Senne, Steckelmacher, Denis, Nowé, Ann
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Critic-Driven Voronoi-Quantization for Distilling Deep RL Policies to Explainable Models
by: Deproost, Senne, et al.
Published: (2026)

Explainable RL Policies by Distilling to Locally-Specialized Linear Policies with Voronoi State Partitioning
by: Deproost, Senne, et al.
Published: (2025)

Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies
by: Deproost, Senne, et al.
Published: (2026)

Flow Actor-Critic for Offline Reinforcement Learning
by: Chae, Jongseong, et al.
Published: (2026)

Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making
by: Cimpean, Alexandra, et al.
Published: (2025)

Broad Critic Deep Actor Reinforcement Learning for Continuous Control
by: Thalagala, Shiron, et al.
Published: (2024)

Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
by: Garcin, Samuel, et al.
Published: (2025)

Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning
by: Küçükoğlu, Burcu, et al.
Published: (2025)

Quantum Advantage Actor-Critic for Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)

Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC)
by: Mahran, Youssef, et al.
Published: (2025)

Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning
by: Chen, Haohui, et al.
Published: (2024)

DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning
by: Ma, Xiaoteng, et al.
Published: (2020)

Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic
by: Vo, Thanh Vinh, et al.
Published: (2025)

Offline Actor-Critic Reinforcement Learning Scales to Large Models
by: Springenberg, Jost Tobias, et al.
Published: (2024)

Efficient $Q$-Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
by: Xu, Yang, et al.
Published: (2025)

Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning
by: Dong, Jinzong, et al.
Published: (2026)

Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control
by: Alzorgan, Hazim, et al.
Published: (2025)

Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control
by: Chen, Donghe, et al.
Published: (2025)

Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning
by: Humayoo, Mahammad, et al.
Published: (2018)

${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
by: Chen, Dingyang, et al.
Published: (2023)

Scalable Neighborhood-Based Multi-Agent Actor-Critic
by: Goppelsroeder, Tim, et al.
Published: (2026)

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
by: Yang, Tong, et al.
Published: (2023)

Contraction Actor-Critic: Contraction Metric-Guided Reinforcement Learning for Robust Path Tracking
by: Cho, Minjae, et al.
Published: (2025)

Bidirectional Soft Actor-Critic: Leveraging Forward and Reverse KL Divergence for Efficient Reinforcement Learning
by: Zhang, Yixian, et al.
Published: (2025)

The Role of Deep Learning Regularizations on Actors in Offline RL
by: Tarasov, Denis, et al.
Published: (2024)

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
by: Obando-Ceron, Johan, et al.
Published: (2025)

Comparative Analysis of Parameterized Action Actor-Critic Reinforcement Learning Algorithms for Web Search Match Plan Generation
by: Bapoo, Ubayd, et al.
Published: (2025)

Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences
by: Singh, Nikhil Kumar, et al.
Published: (2024)

DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
by: Cui, Mingxuan, et al.
Published: (2025)

CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
by: Valencia, David, et al.
Published: (2024)

Value Improved Actor Critic Algorithms
by: Oren, Yaniv, et al.
Published: (2024)

Diffusion Actor-Critic with Entropy Regulator
by: Wang, Yinuo, et al.
Published: (2024)

Revisiting Discrete Soft Actor-Critic
by: Zhou, Haibin, et al.
Published: (2022)

Average-Reward Soft Actor-Critic
by: Adamczyk, Jacob, et al.
Published: (2025)

Laser Learning Environment: A new environment for coordination-critical multi-agent tasks
by: Molinghen, Yannick, et al.
Published: (2024)

Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs
by: Kohler, Hector, et al.
Published: (2023)

Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization
by: Sen, Sayambhu, et al.
Published: (2025)

Online Planning in POMDPs with State-Requests
by: Avalos, Raphael, et al.
Published: (2024)

Evaluating COVID-19 vaccine allocation policies using Bayesian $m$-top exploration
by: Cimpean, Alexandra, et al.
Published: (2023)

A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV Hovering
by: Qi, Qihan, et al.
Published: (2024)