List your company

Agentic Reasoning on WebShop (test)

82.3Success RateRETROAGENT
-2.4619.54541.5563.555Mar 9, 2026

Evaluation results

MethodLinks
RETROAGENTEvaluation Protocol=RL Training with Extrinsic and Dual Intrinsic Feedback, Reflection Strategy=RL-Trained Reflection, Base Algorithm=GRPO2026.0382.388.9
RETROAGENTEvaluation Protocol=RL Training with Extrinsic and Dual Intrinsic Feedback, Reflection Strategy=In-Context Reflection, Base Algorithm=GRPO2026.0378.987.6
GiGPOEvaluation Protocol=Fine-tuning with RL, Base Algorithm=GRPO2026.0372.884.4
SKILLRLEvaluation Protocol=Fine-tuning with RL-based Frameworks, Teacher Model usage=true, Base Algorithm=GRPO2026.0372.785.2
GRPO w/ EMPGEvaluation Protocol=Fine-tuning with RL-based Frameworks2026.0369.381
GRPOEvaluation Protocol=Fine-tuning with RL2026.0366.975.5
RLOOEvaluation Protocol=Fine-tuning with RL2026.0365.780.3
LAMEREvaluation Protocol=Fine-tuning with Meta-RL Frameworks, Base Algorithm=GRPO2026.0361.7—
SimpleMemEvaluation Protocol=Fine-tuning with RL-based Frameworks, Base Algorithm=GRPO2026.0346.967.8
Mem0Evaluation Protocol=Fine-tuning with RL-based Frameworks, Base Algorithm=GRPO2026.0337.558.1
ReflexionEvaluation Protocol=Prompting-based2026.0328.858.1
ReActEvaluation Protocol=Prompting-based2026.0319.546.2
EvolveREvaluation Protocol=Fine-tuning with RL-based Frameworks, Base Algorithm=GRPO2026.0317.642.5
MemRLEvaluation Protocol=Fine-tuning with RL-based Frameworks, Base Algorithm=GRPO2026.039.229.5
Qwen-2.5-7B-InstructEvaluation Protocol=Zero-Shot2026.030.84.5