Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Safe Policy Improvement by Minimizing Robust Baseline Regret
High Confidence Policy Improvement
Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning
Learning Safe Policies with Expert Guidance
Model-Based Stabilisation of Deep Reinforcement Learning.
Gradient-free Policy Architecture Search and Adaptation
Delving into adversarial attacks on deep policies
Evolved Policy Gradients
Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
Learning Policies for Partially Observable Environments: Scaling Up
Using Eligibility Traces to Find the Best Memoryless Policy in Partially Observable Markov Decision Processes
Adaptive ε-greedy exploration in reinforcement learning based on value differences
Exploration-Exploitation Trade-off in Deep Reinforcement Learning
algorithmic framework for model - based reinforcement learning with theoretical guarantees .
Lyapunov Design for Safe Reinforcement Learning Control
Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning
Evolution-Guided Policy Gradient in Reinforcement Learning
Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms?
Generalization and Exploration via Randomized Value Functions
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
symmetry and magnitude of spin - orbit torques in ferromagnetic heterostructures .
Controlling the False Discovery Rate: a Practical and Powerful Approach to Multiple Testing
Importance sampling for unbiased on-demand evaluation of knowledge base population
PrivacyGuard: Enforcing Private Data Usage with Blockchain and Attested Execution
Canstatin inhibits isoproterenol-induced apoptosis through preserving mitochondrial morphology in differentiated H9c2 cardiomyoblasts