Reinforcement Learning

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Merging model-based control with multi-agent reinforcement learning for multi-agent cooperative teaming strategies

馃AI AgentsContent type: Academic
arxiv.org

Agents Need Work Data: A Primer on RLWD, or Reinforcement Learning on Work Data

馃AI Agents
anjalishriva.comHacker News

Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

馃幆Fine-tuning
venturebeat.comHacker News

Reinforcement Learning and Optimal Control Book (RIP Dimitri Bertsekas)

馃搱OptimizationContent type: Academic
web.mit.eduHacker News
Less-relevant results

Propel: Breaking the Solver Bottleneck in Task-Generator RL

馃幆Fine-tuning
vmax.aiHacker News

Introducing North Mini Code: Cohere鈥檚 First Model For Developers

馃幆Fine-tuningContent type: Blog
huggingface.coHacker News

Memoirs of a Learning Machine: Autobiographical Self-Training and the Self-Training Gap

馃ЗCognitive Science
zenodo.orgHacker News

Why LLMs (still) lack taste

馃LLM

How to Train Your Goblin

馃幆Fine-tuning

Multi-agent rendezvous in fluid flows via reinforcement learning

馃AI AgentsContent type: Academic
arxiv.org

How to Stop Shipping Low-Quality RL Environments (with Examples)

馃幆Fine-tuningContent type: News
latent.spaceHacker News

Deterministic Policy Gradient for Learning Equilibrium in Time-Inconsistent Control Problems

馃搱OptimizationContent type: Academic
arxiv.org

I got so mad at poke(rogue)like that I trained a RL agent to beat it for me

馃AI Agents

AI-powered living business intelligence network

馃DuckDB

Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria

馃搱OptimizationContent type: Academic
arxiv.org

Risk Has an Owner, and It's Not the AI

馃AutomationContent type: Blog
aaddrick.comHacker News

[NEW MODEL] SupraLabs just released Supra1.5-50M Base (Experimental)!

馃敜Tokenization
huggingface.cor/LocalLLaMA

LLM Research Papers: The 2026 List (January to May)

馃挰Natural Language ProcessingContent type: News

TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution

馃搱OptimizationContent type: Academic
arxiv.org

A wild idea: Abstract reality using ontology

馃LLMContent type: Discussion

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