VALT computes the optimal observation adversary from the agent's own value function via soft-constrained optimization, enabling sample-efficient off-policy robust RL without a separately trained attacker.
(57) 5: end for 6: else 7: Do nothing (pass) 8: end if C.3
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Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
VALT computes the optimal observation adversary from the agent's own value function via soft-constrained optimization, enabling sample-efficient off-policy robust RL without a separately trained attacker.