The vision-based reinforcement learning (RL) has achieved tremendous success. However, generalizing vision-based RL policy to unknown test environments still remains as a challengingproblem.
<clarity> The vision-based reinforcement learning (RL) has achieved tremendous success. However, generalizing vision-based RL policy to unknown test environments still remains as a challengingproblem.
The vision-based reinforcement learning (RL) is successful, but how to generalize it to unknown test environments still remains as a challengingproblem.