Reinforcement Learning – AI Toolhouse Blog

Friday, February 21, 2025

Latest:

Google MONA

Reinforcement Learning

January 27, 2025January 27, 2025 Rishabh Dwivedi

Google DeepMind Introduces MONA: A Game-Changing Framework to Prevent Multi-Step Reward Hacking in Reinforcement Learning

Reinforcement learning (RL) has been at the forefront of artificial intelligence, enabling agents to solve complex tasks ranging from game

0 Shares

Achieving Efficient Tensor Contractions with a New Cost-Function-Based Greedy Algorithm

Machine Learning Reinforcement Learning

June 7, 2024June 7, 2024 Aditya Toshniwal

Achieving Efficient Tensor Contractions with a New Cost-Function-Based Greedy Algorithm

Tensor contractions play a crucial role in solving problems across various research fields, including model counting, quantum circuits, graph problems,

0 Shares

Reinforcement Learning

Reinforcement Learning

May 11, 2024May 11, 2024 Akhil Sankar

Reinforcement Learning: Training AI Agents Through Rewards and Penalties

Reinforcement learning (RL) is a fascinating field of AI that focuses on training agents to make decisions by interacting with

0 Shares

Causal Chambers

Reinforcement Learning

April 27, 2024April 27, 2024 Rishabh Dwivedi

Enhancing AI Validation with Causal Chambers: Bridging Data Gaps in Machine Learning and Statistics with Controlled Environments

Artificial intelligence (AI) and machine learning (ML) have revolutionized various industries, enabling computers to perform complex tasks and make predictions

0 Shares

DGAT

Reinforcement Learning

March 27, 2024March 27, 2024 Rohan Babbar

Enhancing Graph Neural Networks for Heterophilic Graphs: Introducing Directional Graph Attention Networks (DGAT)

Graph Neural Networks (GNNs) have revolutionized the field of graph representation learning, enabling researchers to analyze and learn from complex

0 Shares

LLMs Natural Language Processing Reinforcement Learning

March 12, 2024March 12, 2024 Rishabh Dwivedi

8 Top Tools and Libraries for RLHF in 2024

Reinforcement Learning from Human Feedback (RLHF) is a powerful technique in machine learning that involves training models using human input

0 Shares

Craftax

Reinforcement Learning

March 10, 2024March 10, 2024 Rohan Babbar

Researchers at the University of Oxford Introduce Craftax: A Machine Learning Benchmark for Open-Ended Reinforcement Learning

In the field of machine learning, benchmarks play a crucial role in the development and analysis of reinforcement learning (RL)

0 Shares

Reinforcement Learning

March 9, 2024March 9, 2024 Akhil Sankar

Exploring TRLx: Hands-on Guide for Implementing Text Summarization through RLHF

Text summarization is a critical task in natural language processing that aims to condense the content of a given text

0 Shares

Reinforcement Learning

March 5, 2024March 5, 2024 Rishabh Dwivedi

Questioning the Value of Machine Learning Techniques: Is Reinforcement Learning with AI Feedback All It’s Cracked Up to Be?

Machine learning techniques have revolutionized the field of artificial intelligence (AI) and have paved the way for significant advancements in

0 Shares

Reinforcement Learning Top Stories

March 1, 2024March 1, 2024 Ritvik Vipra

Parameter Scaling for Deep Reinforcement Learning with Mixture-of-Expert Modules: Insights from Google DeepMind Researchers

Deep reinforcement learning (RL) is a field that focuses on training agents to learn and make decisions in complex environments.

0 Shares