policy robustness

Geometric Red-Teaming for Robotic Manipulation CoRL 2025 Graph Diffusion for Robust Multi-Agent Coordination ICML 2025 Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies ICLR 2024 Bounded robustness in reinforcement learning via lexicographic objectives L4DC 2024 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024 Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure CoRL 2024 Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness AAAI 2023 Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023 Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control NeurIPS 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023 Robust Reinforcement Learning via Progressive Task Sequence IJCAI 2023 Model-Based Reinforcement Learning via Imagination with Derived Memory NeurIPS 2021 Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays CoRL 2020 Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents AAAI 2020