Cover Image

Improving Intrinsic Exploration by Creating Stationary Objectives

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Castanyer, Roger Creus, Romoff, Joshua, Berseth, Glen
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning
by: Hugessen, Adriana, et al.
Published: (2024)

ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning
by: Castanyer, Roger Creus, et al.
Published: (2025)

Align and Filter: Improving Performance in Asynchronous On-Policy RL
by: Honari, Homayoun, et al.
Published: (2026)

Agentick: A Unified Benchmark for General Sequential Decision-Making Agents
by: Castanyer, Roger Creus, et al.
Published: (2026)

Is Exploration or Optimization the Problem for Deep Reinforcement Learning?
by: Berseth, Glen
Published: (2025)

RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
by: Yuan, Mingqi, et al.
Published: (2024)

Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
by: Tang, Hongyao, et al.
Published: (2024)

Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards
by: Mohamed, Faisal, et al.
Published: (2026)

BuilderBench: The Building Blocks of Intelligent Agents
by: Ghugare, Raj, et al.
Published: (2025)

SegDAC: Visual Generalization in Reinforcement Learning via Dynamic Object Tokens
by: Brown, Alexandre, et al.
Published: (2025)

Intelligent Switching for Reset-Free RL
by: Patil, Darshan, et al.
Published: (2024)

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
by: Riemer, Matthew, et al.
Published: (2024)

Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning
by: Lawson, Daniel, et al.
Published: (2025)

Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
by: Castanyer, Roger Creus, et al.
Published: (2025)

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
by: Tang, Hongyao, et al.
Published: (2025)

Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
by: Jain, Arnav Kumar, et al.
Published: (2024)

Incentivized Exploration of Non-Stationary Stochastic Bandits
by: Chakraborty, Sourav, et al.
Published: (2024)

Learning Rate-Free Reinforcement Learning: A Case for Model Selection with Non-Stationary Objectives
by: Afshar, Aida, et al.
Published: (2024)

Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration
by: Sun, Yan, et al.
Published: (2025)

Creating Multi-Level Skill Hierarchies in Reinforcement Learning
by: Evans, Joshua B., et al.
Published: (2023)

Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration
by: Wang, Yibo, et al.
Published: (2024)

EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial Exploration
by: Wu, Jianfei, et al.
Published: (2026)

MIR: Efficient Exploration in Episodic Multi-Agent Reinforcement Learning via Mutual Intrinsic Reward
by: Chen, Kesheng, et al.
Published: (2025)

xgenius: LLM-Oriented Autonomous Research Platform for SLURM Clusters
by: Creus Castanyer, Roger
Published: (2026)

Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning
by: Shianifar, Jonaid, et al.
Published: (2026)

A Comedy of Estimators: On KL Regularization in RL Training of LLMs
by: Shah, Vedant, et al.
Published: (2025)

Federated Loss Exploration for Improved Convergence on Non-IID Data
by: Internò, Christian, et al.
Published: (2025)

In-Context Learning for Non-Stationary MIMO Equalization
by: Jiang, Jiachen, et al.
Published: (2025)

Non-Stationary Latent Auto-Regressive Bandits
by: Trella, Anna L., et al.
Published: (2024)

EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control
by: Evers, Thomas, et al.
Published: (2026)

Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
by: Zhang, Ziqi, et al.
Published: (2023)

Noise Balance and Stationary Distribution of Stochastic Gradient Descent
by: Ziyin, Liu, et al.
Published: (2023)

Kalman Filter for Online Classification of Non-Stationary Data
by: Titsias, Michalis K., et al.
Published: (2023)

Partition Tree Weighting for Non-Stationary Stochastic Bandits
by: Veness, Joel, et al.
Published: (2025)

WeatherMesh-3: Fast and accurate operational global weather forecasting
by: Du, Haoxing, et al.
Published: (2025)

Online Reinforcement Learning in Non-Stationary Context-Driven Environments
by: Hamadanian, Pouya, et al.
Published: (2023)

Decision Making in Non-Stationary Environments with Policy-Augmented Search
by: Pettet, Ava, et al.
Published: (2024)

Inverse Reinforcement Learning from Non-Stationary Learning Agents
by: Sivakumar, Kavinayan P., et al.
Published: (2024)

Multi-Label Transfer Learning in Non-Stationary Data Streams
by: Du, Honghui, et al.
Published: (2025)

Fast Training of Recurrent Neural Networks with Stationary State Feedbacks
by: Caillon, Paul, et al.
Published: (2025)