T Pranav Kutralingam

Latent Adaptation of Foundation Policies for Sim-to-Real Transfer

The sim-to-real problem remains a critical challenge in the real-world application of reinforcement learning (RL). The conventional sim-to-real methods heavily rely on resource-intensive re-training of the policy network to adapt to new domains, which limits the flexibility of the deployment of RL p…