eLife

Correctness is its own reward: bootstrapping error signals in self-guided reinforcement learning

The approach is solid, but the choice of learning rules, circuit architecture, and sparsity assumptions is not always sufficiently justified, and the model would benefit from a clearer mechanistic ...
Tech Times

Reward Hacking in RL Training Caused Real Cyberattacks, Anthropic Experiment Confirms

Anthropic reward hacking research confirms flawed RL training produced Hacker-Opus, an AI model that attacked real systems ...
science

Performant robotic manipulation with real-world reinforcement learning

Real-world robotic manipulation in homes and factories demands reliability, efficiency, and robustness that approach or surpass skilled human operators. We present a real-world reinforcement learning ...
InfoQ

Fine Tuning the Enterprise: Reinforcement Learning in Practice

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Joe Cassavaugh shares his journey from ...
techtimes

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
aiweekly

What Is Reinforcement Learning? Definition & Examples

Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by taking actions in an environment and receiving rewards or penalties based on the outcomes. In ...
aiweekly

Reinforcement Learning Examples: How AI Learns by Doing

Most machine learning systems learn from labeled examples. You show them thousands of photos tagged "cat" or "dog," and they figure out the difference. Reinforcement learning takes a fundamentally ...
letsdatascience

Reinforcement Learning: Agents, Rewards, and Policies

A robot arm knocks a cup off a table 47 times before finally learning to place it gently. A game-playing agent loses 10,000 matches of Go, then beats the world champion. Reinforcement learning is the ...
Psychology Today

Why Negative Reinforcement Isn’t a Bad Thing

Negative reinforcement is a frequently misused term that diminishes its value as a powerful tool for behavior change. You may be puzzled by the claim that negative reinforcement is actually a good ...
Microsoft

Argos: Multimodal reinforcement learning with agentic verifier for AI agents

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...
Forbes

Will Reinforcement Learning Take Us To AGI?

Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...