All Topics
All Topics
Technology
Technology
AI
AI
Business
Business
Entertainment
Entertainment
News
News
Programming
Programming
Science
Science
Design
Design
Environment
Environment
Finance
Finance
Crypto
Crypto
Politics
Politics
Sports
Sports
Education
Education
Gaming
Gaming
Art
Art
Music
Music
Health
Health
Security
Security
Books
Books
Food
Food
Travel
Travel
Personal
Personal
Bluesky
Twitter

Unlocking reliable Offline Reinforcement Learning with Latent Policy Steering

Latent Policy Steering (LPS) offers a fresh approach to offline reinforcement learning, bypassing the pitfalls of brittle trade-offs and hyperparameter sensitivity. By integrating Q-gradients…

Read the full article
Annika Berg5h agoen

You might also wanna read

LifeSkill: A Reinforcement Learning Framework for Online Lifelong Learning in LLM Agents

Lifelong learning is essential for Large Language Model (LLM) agents operating in dynamic, interactive environments. However, existing lifel

arxiv.org·16d ago

Recurrent Structural Policy Gradient: A Method for Partially Observable Mean Field Games

May 2026

clarisse-wibault.github.io·7d ago

JERP: A Joint Learning Framework for LLM Agents Combining Experiential Rules and Policy Updates

For LLM agents in multi-step interactive environments, a key challenge is to make effective use of accumulated interaction experience. Exist

arxiv.org·14d ago

DILLO: A Language-Based World Model for Proactive Agent Steering Without Visual Simulation

Deploying safety-critical agents requires anticipating the consequences of actions before they are executed. While world models offer a para

arxiv.org·18d ago

ConSPO: A Contrastive Approach to Improving Reinforcement Learning with Verifiable Rewards for LLMs

Group Relative Policy Optimization (GRPO) is one of the most widely adopted RLVR algorithms for post-training large language models on reaso

arxiv.org·1mo ago

AgentGym-RL: A Reinforcement Learning Framework for Training LLM Agents in Multi-Turn Decision Making

Developing autonomous LLM agents capable of making a series of intelligent decisions to solve complex, real-world tasks is a fast-evolving f

arxiv.org·19d ago

AgentGym-RL: A Reinforcement Learning Framework for Training LLM Agents in Multi-Turn Decision Making

Developing autonomous LLM agents capable of making a series of intelligent decisions to solve complex, real-world tasks is a fast-evolving f

arxiv.org·19d ago

Comments

Sign in to join the conversation.

No comments yet. Be the first.