Media Summary: In this AI Research Roundup episode, Alex discusses the paper: ' This talk will be a technical deep dive into RL for ai AXPO: Closing the Thinking-Acting Gap in Multimodal

Pivotrl High Accuracy Agentic Post - Detailed Analysis & Overview

In this AI Research Roundup episode, Alex discusses the paper: ' This talk will be a technical deep dive into RL for ai AXPO: Closing the Thinking-Acting Gap in Multimodal Recorded live at the Agent Engineering Session Day from the AI Engineer Summit 2025 in New York. Learn more at ... Today's episode dives into three very different but equally provocative frontiers in AI: an Scale Partner Jeremy Kaufmann interviews Archit Sharma and Rafael Rafailov, two of the authors of the 2023 NeurIPS ...

In this AI Research Roundup episode, Alex discusses the paper: 'LEAP: Supercharging LLMs for Formal Mathematics with ... For more information about Stanford's graduate programs, visit: November 21, ... Join this comprehensive session from EY focusing on the critical link between data quality and the successful deployment of ... 95% of AI pilots fail. Welcome to the Implementors podcast, where we reveal what it takes to join the 5% that succeed. Learn how ... Proximal policy optimization (PPO) alternates between sampling data through interaction with the environment and optimizing a ... This video explores a May 2026 arxiv paper from researchers at i14 and the University of Melbourne that proposes compiling ...

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PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost
PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost (Mar 2026)
Pivot RL Explained: Efficient Reinforcement Learning for AI Agents
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[Podcast] PivotRL: Smarter AI Training
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[Podcast] AXPO: Closing the Thinking-Acting Gap in Multimodal Agentic Reasoning
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Beyond Robustness: Agentic Optimization, Semantic Attacks, and Quantization Backdoors
Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate (Apr 2026)
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PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost

PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost

https://arxiv.org/pdf/2603.21383

PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost (Mar 2026)

PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost (Mar 2026)

Title:

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Pivot RL Explained: Efficient Reinforcement Learning for AI Agents

Pivot RL Explained: Efficient Reinforcement Learning for AI Agents

PivotRL

PivotRL: Accurate LLM Agents at 4x Lower Cost

PivotRL: Accurate LLM Agents at 4x Lower Cost

In this AI Research Roundup episode, Alex discusses the paper: '

PivotRL: Smarter AI Training

PivotRL: Smarter AI Training

https://arxiv.org/pdf/2603.21383

Sponsored
[Podcast] PivotRL: Smarter AI Training

[Podcast] PivotRL: Smarter AI Training

https://arxiv.org/pdf/2603.21383

Polar: Agentic RL at Scale

Polar: Agentic RL at Scale

ai #research Polar: Scalable

Training Agentic Reasoners — Will Brown, Prime Intellect

Training Agentic Reasoners — Will Brown, Prime Intellect

This talk will be a technical deep dive into RL for

[Podcast] AXPO: Closing the Thinking-Acting Gap in Multimodal Agentic Reasoning

[Podcast] AXPO: Closing the Thinking-Acting Gap in Multimodal Agentic Reasoning

ai #research AXPO: Closing the Thinking-Acting Gap in Multimodal

Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley

Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley

Recorded live at the Agent Engineering Session Day from the AI Engineer Summit 2025 in New York. Learn more at ...

Beyond Robustness: Agentic Optimization, Semantic Attacks, and Quantization Backdoors

Beyond Robustness: Agentic Optimization, Semantic Attacks, and Quantization Backdoors

Today's episode dives into three very different but equally provocative frontiers in AI: an

Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate (Apr 2026)

Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate (Apr 2026)

Title: Latent Agents: A

New ideas in AI: DPO has given us alignment without the overhead

New ideas in AI: DPO has given us alignment without the overhead

Scale Partner Jeremy Kaufmann interviews Archit Sharma and Rafael Rafailov, two of the authors of the 2023 NeurIPS ...

LEAP: LLM Agentic Prover for Lean Formal Math

LEAP: LLM Agentic Prover for Lean Formal Math

In this AI Research Roundup episode, Alex discusses the paper: 'LEAP: Supercharging LLMs for Formal Mathematics with ...

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 8 - LLM Evaluation

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 8 - LLM Evaluation

For more information about Stanford's graduate programs, visit: https://online.stanford.edu/graduate-education November 21, ...

Accelerating Agentic ROI Panel

Accelerating Agentic ROI Panel

Join this comprehensive session from EY focusing on the critical link between data quality and the successful deployment of ...

AI in Private Equity: Why Relentless ROI Wins | Frank Gauld, Poppulo (Vista Equity Partners PortCo)

AI in Private Equity: Why Relentless ROI Wins | Frank Gauld, Poppulo (Vista Equity Partners PortCo)

95% of AI pilots fail. Welcome to the Implementors podcast, where we reveal what it takes to join the 5% that succeed. Learn how ...

Proximal Policy Optimization Algorithms

Proximal Policy Optimization Algorithms

Proximal policy optimization (PPO) alternates between sampling data through interaction with the environment and optimizing a ...

Compiling Agentic Workflows into LLM Weights: Frontier Quality at 100x Less Cost

Compiling Agentic Workflows into LLM Weights: Frontier Quality at 100x Less Cost

This video explores a May 2026 arxiv paper from researchers at i14 and the University of Melbourne that proposes compiling ...

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