Reinforcement Learning

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3SPO: State-Score-Supervised Policy Optimization for LLM Agents

馃КEvolutionary ComputationContent type: Academic
arxiv.org

Self-evolving LLM agents with in-distribution Optimization

馃КEvolutionary ComputationContent type: Academic
arxiv.org

SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration

馃Active InferenceContent type: Academic
arxiv.org

Policy Gradient for Continuous-Time Robust Markov Decision Processes

鈿欙笍Computational MechanicsContent type: Academic
arxiv.org

GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning

馃КEvolutionary ComputationContent type: Academic
arxiv.org

Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generation

鈿欙笍Computational MechanicsContent type: Academic
arxiv.org

Reinforcement Learning for Flow-Matching Policies with Density Transport

馃Active InferenceContent type: Academic
arxiv.org

Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning

鈿欙笍Computational MechanicsContent type: Academic
arxiv.org

Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning

馃Synaptic pruningContent type: Academic
arxiv.org

Self-Paced Curriculum Reinforcement Learning for Autonomous Superbike Racing in Simulation

馃寑Open-Ended LearningContent type: Academic
arxiv.org

From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments

馃攧Continual LearningContent type: Academic
arxiv.org

Deep reinforcement learning for process design: Review and perspective

馃攧Continual LearningContent type: Academic
arxiv.org

Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive Rewards

馃攧Continual LearningContent type: Academic
arxiv.org

Enhancing the MADDPG Algorithm for Multi-Agent Learning via Action Inference and Importance Sampling

馃Active InferenceContent type: Academic
arxiv.org

HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning

馃Developmental RoboticsContent type: Academic
arxiv.org

Drag reduction or reward hacking? Recurrent multi-agent reinforcement learning that earns its reward

馃Active InferenceContent type: Academic
arxiv.org

Path Planning Using Deep Deterministic Policy Gradient: A Reinforcement Learning Approach

鈿欙笍Computational MechanicsContent type: Academic
arxiv.org

Rethinking the Divergence Regularization in LLM RL

馃Active InferenceContent type: Academic
arxiv.org

Merging model-based control with multi-agent reinforcement learning for multi-agent cooperative teaming strategies

鈿欙笍Computational MechanicsContent type: Academic
arxiv.org

Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning

馃Developmental RoboticsContent type: Academic
arxiv.org

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