Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang,Kevin Xie,Homanga Bharadhwaj,Florian Shkurti,Yizhou Huang,Kevin Xie,Homanga Bharadhwaj,Florian Shkurti
Effective planning in model-based reinforcement learning (MBRL) and model-predictive control (MPC) relies on the accuracy of the learned dynamics model. In many instances of MBRL and MPC, this model is assumed to be stationary and is periodically re-trained from scratch on state transition experience collected from the beginning of environment interactions. This implies that the time required to t...
