IEEE

Consensus-based Distributed Reinforcement Learning with Primal-Dual Update for Networked Microgrids On-Line Coordination

Abstract: This paper develops a distributed reinforcement learning (RL) method to coordinate cooperative microgrids (MGs). The high uncertainty of power loads and renewable energy sources motivate the ...
GitHub

[RLlib] Support AsyncVectorEnv for MultiAgentEnv

I am using RLlib for multi-agent training and found that RLlib's MultiAgentEnv vectorization only works with synchronous vector environments (e.g., SyncVectorEnv). This prevents using gymnasium.vector ...
marktechpost

RA3: Mid-Training with Temporal Action Abstractions for Faster Reinforcement Learning (RL) Post-Training in Code LLMs

TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL post-training and introduces RA3 (Reasoning as Action Abstractions)—an EM-style procedure ...
InfoQ

Thinking Machines Releases Tinker API for Flexible Model Fine-Tuning

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
GitHub

CI test linux://rllib:learning_tests_multi_agent_footsies_ppo_gpu is flaky

Labels bug ci-test flaky-tracker ray-test-bot rllib stability triage weekly-release-blocker ...
Scientific Research Publishing

Riemer, M., Abdulhai, M., Kim, D. K., Liu, M., Tesauro, G., & How, J. P. (2022). Context-Specific Representation Abstraction for Deep Option Learning. Proceedings of the AAAI ...

ABSTRACT: A number of psychological issues, such as worries about job displacement, the perceived danger to human autonomy, and fears of bias and misuse, are the root causes of the fear and anxiety ...
IEEE

Distributed Hierarchical Optimized Control for CPSs Under DoS Attacks and Mismatched Disturbances via Reinforcement Learning

Abstract: This article proposes an optimized consensus control based on reinforcement learning (RL) for distributed nonlinear cyber-physical systems (CPSs) subject to denial-of-service (DoS) attacks ...
marktechpost

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale

Reinforcement learning has emerged as a powerful approach to fine-tune large language models (LLMs) for more intelligent behavior. These models are already capable of performing a wide range of tasks, ...
Forbes

The Rise And Rise Of Reinforcement Learning: AI’s Quiet Revolution

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...