Safety

Redistribution-based Cost Inference Improves Sparse Safe Offline RL
Safe offline RL typically assumes access to dense per-step cost annotations, but in practice supervisors provide only trajectory-level …
Ebenezer Gelo, Geraud Nangue Tasse, Steven James, Benjamin Rosman
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An Unreasonably Simple Approach to Safe RL
An important problem in reinforcement learning is designing agents that learn to solve tasks safely in an environment. A common …
Geraud Nangue Tasse, Mark Nemecek, Tamlin Love, Steven James, Benjamin Rosman
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MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents
Evaluating moral alignment in agents navigating conflicting, hierarchically structured human norms is a critical challenge at the …
Simon Rosen, Siddarth Singh, Ebenezer Gelo, Helen Sarah Robertson, Ibrahim Suder, Victoria Williams, Benjamin Rosman, Geraud Nangue Tasse, Steven James
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ROSARL: Reward-Only Safe Reinforcement Learning
An important problem in reinforcement learning is designing agents that learn to solve tasks safely in an environment. A common …
Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman
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