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Found 3 papers, 2 papers with code
Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments
Shielding is a popular technique for achieving safe reinforcement learning (RL).
Approximate Model-Based Shielding for Safe Reinforcement Learning
Reinforcement learning (RL) has shown great potential for solving complex tasks in a variety of domains.
Approximate Shielding of Atari Agents for Safe Exploration
Balancing exploration and conservatism in the constrained setting is an important problem if we are to use reinforcement learning for meaningful tasks in the real world.
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