ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning

ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning

• Computer Science > Artificial Intelligence [Submitted on 25 Feb 2026] Title:ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning View PDFAbstract:Agentic reinf

Research & Labs · February 26, 2026 (updated February 26, 2026) · 2 min · 219 words
Deep Reinforcement Learning Based Block Coordinate Descent for Downlink Weighted Sum-rate Maximization on AI-Native Wireless Networks

Deep Reinforcement Learning Based Block Coordinate Descent for Downlink Weighted Sum-rate Maximization on AI-Native Wireless Networks

• Computer Science > Networking and Internet Architecture [Submitted on 24 Feb 2026] Title:Deep Reinforcement Learning Based Block Coordinate Descent for Downlink Weighted Sum-rate

Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets

Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets

• Computer Science > Artificial Intelligence [Submitted on 20 Feb 2026] Title:Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets View PDF HTML (experi

Research & Labs · February 23, 2026 (updated February 24, 2026) · 2 min · 269 words
Optimal Multi-Debris Mission Planning in LEO: A Deep Reinforcement Learning Approach with Co-Elliptic Transfers and Refueling

Optimal Multi-Debris Mission Planning in LEO: A Deep Reinforcement Learning Approach with Co-Elliptic Transfers and Refueling

• Computer Science > Machine Learning [Submitted on 4 Feb 2026] Title:Optimal Multi-Debris Mission Planning in LEO: A Deep Reinforcement Learning Approach with Co-Elliptic Transfer

Research & Labs · February 23, 2026 (updated February 24, 2026) · 2 min · 317 words

Author Correction: Natural behaviour is learned through dopamine-mediated reinforcement

• Subjects Basal ganglia Neural circuits Reward TheOriginal Articlewas published on 12 March 2025 Correction to:Naturehttps://doi.org/10.1038/s41586-025-08729-1Published online 12

Science · February 22, 2026 (updated February 23, 2026) · 1 min · 212 words
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning

Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning

• Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning View PDF HTML (e

Research · February 19, 2026 (updated February 19, 2026) · 2 min · 255 words
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning

Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning

• Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning View PDF HTML (e

Research & Labs · February 19, 2026 (updated February 24, 2026) · 2 min · 314 words
Deep Reinforcement Learning Approach to QoSAware Load Balancing in 5G Cellular Networks under User Mobility and Observation Uncertainty

Deep Reinforcement Learning Approach to QoSAware Load Balancing in 5G Cellular Networks under User Mobility and Observation Uncertainty

• Computer Science > Networking and Internet Architecture [Submitted on 28 Oct 2025 (v1), last revised 18 Feb 2026 (this version, v2)] Title:Deep Reinforcement Learning Approach to

Customizing multiturn AI agents with reinforcement learning

Customizing multiturn AI agents with reinforcement learning

• Customizing multiturn AI agents with reinforcement learning Leveraging existing environment simulators and reward functions based on verifiable ground truth boosts task success r

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

• AI agents are reshaping software development, from writing code to carrying out complex instructions. • Yet LLM-based agents are prone to errors and often perform poorly on compl

Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models

Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models

• AWS News Blog Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models | Organizations face a challenging trade-off when ada

Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment

Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment

• We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. • Our goal is to tackle

Research · March 25, 2025 (updated February 19, 2026) · 2 min · 240 words