Do the main claims made in the abstract and introduction accurately reflect the paper's contributions and If you ran experiments... (a) Did you specify all the training details (e.g., data splits, hyperparameters, how they were chosen)? Please refer to both main text and appendix for experiment details. Did you report error bars (e.g., with respect to the random seed after running experiments multiple All adaptation experiments in Procgen and RLBench are run for 3 seeds. Did you include the total amount of compute and the type of resources used (e.g., type of GPUs, internal As stated in section 2, we use RTX A5000 GPUs each with 24GB memory. C2F-ARM algorithm and training framework are built based on the original author's implementation Did you mention the license of the assets?

In Section 4.2, we have shown the effectiveness of In Section 3.4, we have analyzed that I2Q can easily solve the task with multiple optimal joint policies. Here, we give another way to solve this problem. D3G cannot obtain a winning rate in SMAC, as shown in Table 1. Although QSS value is a biased estimation in this implementation, the implementation without forward model is practical. The results are shown in Figure 16.