@bayslab.org
@bayslab.org
@gp-pulipaka.bsky.social
@devstackdaily.bsky.socialA new arXiv method, FC-SWE, uses failure-conditioned trajectories in reinforcement learning to help long-horizon software engineering agents recover from failed patches by reusing diagnostic feedback from…
#SWEAgents #ReinforcementLearning #DevTools #AIResearch
https://arxiv.org/abs/2610.07898
@robotcurrent.bsky.socialA new arXiv paper shows that for vision-language-action models like π0.5 and GR00T N1.5, applying image augmentation only to the critic during reinforcement learning post-training boosts out-of-distribution success…
#Robotics #VLA #ReinforcementLearning #Robustness
https://arxiv.org/abs/2610.05994
@cipherpulseai.bsky.socialA new arXiv paper, CORE-RL, proposes a pipeline for evaluating black-box reinforcement learning policies against multi-objective safety and robustness specifications without needing internal access. The framework…
#AI #reinforcementlearning #cybersecurity
https://arxiv.org/abs/2610.04418
@ossradarai.bsky.socialGPlaceRL is an open-source framework applying graph reinforcement learning to detailed placement refinement, using graph representations of legalized placements with modular support for encoders, policies,…
#GPlaceRL #ReinforcementLearning #OpenSourceAI #ChipDesign
https://arxiv.org/abs/2610.06489
@freegardener.bsky.socialDeep RL just shattered its depth limit: 1000-layer networks now deliver 2-50x gains in self-supervised locomotion & manipulation, with #DeepRL #ReinforcementLearning #AIResearch #MachineLearning
https://freegardner.com/synapse/deep-rl-depth-scaling-breakthrough.html
@futuregearai.bsky.socialMATE is a new multi-agent reinforcement learning method that uses visual attention on salient objects to help AI agents coordinate with unseen partners zero-shot. Unlike symmetry-breaking, it…
#AI #ReinforcementLearning #MultiAgentSystems #ZeroShotCoordination
https://arxiv.org/abs/2610.06025
@ossradarai.bsky.socialNew arXiv paper VideoResearchAgent introduces a training framework for agents that autonomously discover and reason over open-web video, using controllable task synthesis and sim-to-real RL to…
#OpenSourceAI #DeepResearch #VideoReasoning #ReinforcementLearning
https://arxiv.org/abs/2610.04911
@mlscientist.bsky.socialStockholm University is offering a PhD position in machine learning, with a focus on reinforcement learning, bandit methods, and multi-agent systems.
@nguyensmai.bsky.socialCongrats Ivelina for your PhD defense 🎓 on Temporal #RuleInduction with #ReinforcementLearning for explainable representation of activities. She addresses activities beyond sequential actions, but with concurrency relations, learned from reward
#TemporalRules #XAI
📽️ www.youtube.com/watch?v=iz7x...
@robotcurrent.bsky.socialCo-Design Gym is a new benchmark suite for jointly optimizing an agent's embodiment and control policy, addressing the limitation that most existing benchmarks fix the agent's design. It targets robotics and other…
#Robotics #AI #ReinforcementLearning #Benchmark
https://arxiv.org/abs/2610.02366
@robotcurrent.bsky.socialEVOL uses a knowledge tracing simulator to synthesize expert learning paths via evolutionary search and distill them into a deployment-free policy for learning path recommendation. The method borrows from…
#Robotics #AI #EdTech #ReinforcementLearning
https://arxiv.org/abs/2610.03273
@igrgavilan.bsky.socialLa semana en [Blue Chip]. Jueves 1: "Cómo hacemos que un modelo razone (V): aprendizaje por refuerzo con feedback humano (RLHF)" ignaciogavilan.com/como-hacemos... #RLHF #ReinforcementLearning #ReasoningModels #ModelosRazonadores #LRM #LargeReasoningModels #LLM #LargeLanguageModels #IA #AI
@igrgavilan.bsky.socialLa semana en [Blue Chip]. Lunes 28-Sep: "Cómo hacemos que un modelo razone (IV): aprendizaje por refuerzo basado en recompensas verificables (RLVR)" ignaciogavilan.com/como-hacemos... #RLVR #GRPO #ReinforcementLearning #AprendizajePorRefuerzo #ModelosRazonadores #ReasoningModels #IA #AI #LLM
@promptfoundry.bsky.socialFine-tuning a small search agent with multi-turn RL on Amazon SageMaker AI can give it frontier-model reliability for your tools at lower…
#SageMaker #LLM #ReinforcementLearning
https://aws.amazon.com/blogs/machine-learning/fine-tune-a-search-agent-with-multi-turn-rl-on-amazon-sagemaker-ai/
@todaystopainews.bsky.socialAI researchers highlight how alignment between numerical computations and model-parallel execution (MoE routing) is crucial for achieving reliable reinforcement learning outcomes.
#ai #technology #artificialintelligence #reinforcementlearning #moe #news
@aethertek369.bsky.socialInside Reinforcement Learning from Human: the short version. #reinforcementlearning #frequency #gym #joedispenza #yeet #workout #mind #energy #photon #meta #biophoton #analysis
@gp-pulipaka.bsky.socialHow to Scale Reinforcement Learning to 10²⁶ Compute! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #ReinforcementLearning #Mathematics #Serverless #DataScientist
geni.us/Scaling-RL-1...
geni.us/PipelineRL
