chenxiaochang / safe_rl_papers

A list of safe reinforcement learning papers

A List of Safe Reinforcement Learning Papers

Algorithms

Safe Exploration

• Safe Exploration in Continuous Action Spaces
• Safe Exploration for Interactive Machine Learning
• Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments

Safe Planning

• Safe Planning via Model Predictive Shielding

Policy Learning

• A Lyapunov-based Approach to Safe Reinforcement Learning
• Constrained Policy Optimization
• End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
  • Code
• Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
• Convergent Policy Optimization for Safe Reinforcement Learning
• Lyapunov-based Safe Policy Optimization for Continuous Control
• Neural Lyapunov Control
• CAQL: CONTINUOUS ACTION Q-LEARNING

Safe Reinforcement Learning with Stability Guarantees

• Safe Model-based Reinforcement Learning with Stability Guarantees
• The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
• Safe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processes
• Code

Human in the loop

• Trial without Error: Towards Safe Reinforcement Learning via Human Intervention

Surveys

A Comprehensive Survey on Safe Reinforcement Learning

Benchmarks

• Benchmarking Safe Exploration in Deep Reinforcement Learning
• The city learn challenge
  • Code

Thesis

SAFE REINFORCEMENT LEARNING

Lectures

Safe Reinforcement Learning