From b78c932869b2288a231af1d7c67405db63302532 Mon Sep 17 00:00:00 2001 From: "Mr. Komal Kumar" Date: Mon, 20 Oct 2025 14:03:57 +0400 Subject: [PATCH 1/2] Update repository URL in README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4360c97..91a9ed0 100644 --- a/README.md +++ b/README.md @@ -94,7 +94,7 @@ For development or customization, clone the repository and set up the environmen ```bash # Clone the repository -git clone https://github.com/yourusername/ECON.git +git clone https://github.com/tmlr-group/ECON.git cd ECON # Create and activate conda environment From 55f18557b245316609acf1697945a7ab0fb9b7d3 Mon Sep 17 00:00:00 2001 From: "Mr. Komal Kumar" Date: Sat, 22 Nov 2025 20:47:07 +0400 Subject: [PATCH 2/2] Replace QLearner with ECONLearner in example fix:cannot import name 'QLearner' from 'learners.q_learner' --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 91a9ed0..edaab61 100644 --- a/README.md +++ b/README.md @@ -174,7 +174,7 @@ main(config) The example below shows how to configure advanced coordination settings for better performance. The framework implements two-stage training with belief formation and BNE coordination. ```python -from src.learners.q_learner import QLearner +from src.learners.q_learner import ECONLearner from src.controllers.basic_mac import LLMBasicMAC # Configure BNE coordination parameters @@ -183,7 +183,7 @@ config.bne_convergence_threshold = 0.01 config.stage2_weight = 0.3 # Initialize learner with coordination -learner = QLearner(mac, scheme, logger, config) +learner = ECONLearner(mac, scheme, logger, config) learner.train(batch, t_env, episode_num) ```