RL The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published 12 days ago • 160 MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training Paper • 2606.30406 • Published 11 days ago • 15
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published 12 days ago • 160
MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training Paper • 2606.30406 • Published 11 days ago • 15
agent paper Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Paper • 2501.11425 • Published Jan 20, 2025 • 108 AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning Paper • 2509.08755 • Published Sep 10, 2025 • 56 Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Paper • 2604.18292 • Published Apr 20 • 88 Self-Distilled Agentic Reinforcement Learning Paper • 2605.15155 • Published May 14 • 116
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Paper • 2501.11425 • Published Jan 20, 2025 • 108
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning Paper • 2509.08755 • Published Sep 10, 2025 • 56
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Paper • 2604.18292 • Published Apr 20 • 88
RL The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published 12 days ago • 160 MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training Paper • 2606.30406 • Published 11 days ago • 15
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published 12 days ago • 160
MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training Paper • 2606.30406 • Published 11 days ago • 15
agent paper Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Paper • 2501.11425 • Published Jan 20, 2025 • 108 AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning Paper • 2509.08755 • Published Sep 10, 2025 • 56 Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Paper • 2604.18292 • Published Apr 20 • 88 Self-Distilled Agentic Reinforcement Learning Paper • 2605.15155 • Published May 14 • 116
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Paper • 2501.11425 • Published Jan 20, 2025 • 108
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning Paper • 2509.08755 • Published Sep 10, 2025 • 56
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Paper • 2604.18292 • Published Apr 20 • 88
