2024
Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters
CoRL 2024poster
Applying reinforcement learning (RL) to learn effective policies on physical robots without supervision remains challenging when it comes to tasks where safe exploration is critical. Constrained model-based RL (CMBRL) presents a promising approach to this problem. These methods are designed to learn…