Model-Based Transfer Learning for Contextual Reinforcement Learning

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Training Language Models to Self-Correct via Reinforcement Learning

Random robots are more reliable: New AI algorithm for robots consistently outperforms state-of-the-art systems

Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Pearl: A Production-ready Reinforcement Learning Agent

The third New England RLHF Hackers Hackathon

Chip Placement with Deep Reinforcement Learning

Using reinforcement learning for dynamic planning in open-ended conversations

An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains | Journal of Artificial Intelligence Research

Pre-training generalist agents using offline reinforcement learning

PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations

Quantization for Fast and Environmentally Sustainable Reinforcement Learning

Combining AI and computational science for better, faster, energy efficient predictions

Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents

Microsoft AI Research Introduces A New Reinforcement Learning Based Method, Called 'Dead-end Discovery' (DeD), To Identify the High-Risk States And Treatments In Healthcare Using Machine Learning