CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration

Reinforcement Learning by Guided Safe Exploration

Scalable Safe Policy Improvement via Monte Carlo Tree Search

Back to the Future: Solving Hidden Parameter MDPs with Hindsight

Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems

Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems

Training and Transferring Safe Policies in Reinforcement Learning

Refined Risk Management in Safe Reinforcement Learning with a Distributional Safety Critic

A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics using Constrained Reinforcement Learning

Safety-constrained reinforcement learning with a distributional safety critic

Large-scale collaborative vehicle routing

Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators

Abstraction-Refinement for Hierarchical Probabilistic Models

An Auction-Based Multi-Agent System for the Pickup and Delivery Problem with Autonomous Vehicles and Alternative Locations

Strategic Bidding in Decentralized Collaborative Vehicle Routing

Safe Policies for Factored Partially Observable Stochastic Games

Abstraction-Guided Policy Recovery from Expert Demonstrations

PEBL: Pessimistic Ensembles for Offline Deep Reinforcement Learning

AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training

WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning