Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

New research explains why AI models don't just hallucinate randomly but converge on the same invented names repeatedly. The pattern stems from how LLMs ...

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting the debate over AI scaling, benchmark gaming and small-model reasoning.

Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and ...

We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attention in recent years ...

Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and decision-making systems across industries. Modern RL ...

SCOPE-RL is an open-source Python Software for implementing the end-to-end procedure regarding offline Reinforcement Learning (offline RL), from data collection to offline policy learning, off-policy ...