Replacing the acquisition function in Bayesian optimization by a neural network: How effectively do meta-learned acquisition functions in Bayesian optimization perform when optimizing for control variates of unknown functions, as compared to BO with standard acquisition functions

Inverse Reinforcement Learning (IRL) in Presence of Risk and Uncertainty Related Cognitive Biases: To what extent can IRL learn rewards from expert demonstrations with loss and risk aversion?

What are the implications of Curriculum Learning strategy on IRL methods?: Investigating Inverse Reinforcement Learning from Human Behavior

Reinforcement Learning for Switching of Semiautomated Vehicles Under Uncomfortable Driving Situations

Natural Language Processing and Reinforcement Learning to Generate Morally Aligned Text: Comparing a moral agent to an optimally playing agent

Learning a Latent Representation of the Opponent in Automated Negotiation

Multi Agent Deep Deterministic Policy Gradient for Active Wake Control

Multi-Agent Reinforcement Learning using Centralized Critics in Collaborative Environments

Effects of Partial Observability Solver Methods on Training and Final Policies in Autonomous Driver RL: How do different methods for dealing with partial observability in the environment influence training and the robustness of final policies under various testing conditions?

Log-Based Behavioral System Model Inference Using Reinforcement Learning

Improving a Reinforcement Learning Negotiating Agent’s Performance by Extracting Information from the Opponent’s Sequence of Offers

Reward Definitions in Reinforcement Learning for Traffic Light Control

Adapting to Dynamic User Preferences in Recommendation Systems via Deep Reinforcement Learning

Using reinforcement learning for finding the optimal quantum annealing schedule

Balancing multidimensional morality and progression: Evaluating the tradeoff for artificial agents playing text-based games

What would Jiminy Cricket do?: A pluralist approach in generating and processing morally-aligned text

Reinforcement Learning for Switching Control of Semi-automated Vehicles with Driver Fatigue

Reinforcement Learning approach for decision-making in driver control shifting for semi-autonomous driving

Fictional Co-Play for Human-Agent Collaboration: Evaluating state-of-the-art reinforcement learning technique for adaptability to human collaborators

Facing the ball carrier in AI World Cup soccer