Multi-Agent Actor-Critic Reinforcement Learning for Cooperative Tasks

Reward system design for incorporating control performance

Control by Interconnection using Reinforcement Learning

Deep Reinforcement Learning - Pretraining actor-critic networks using state representation learning

Intelligent Flapping Wing Control: Reinforcement Learning for the DelFly

Deep Reinforcement Learning for Bipedal Robots

Potential Field Methods for Safe Reinforcement Learning: Exploring Q-Learning and Potential Fields

Reinforcement Learning Across Timescales

Adaptive-Critic Designs For Aircraft Control: A comparative study between Heuristic Dynamic Programming and Dual Heuristic Programming

Directed Increment Policy Search for Behavior Tree Task Performance Optimization: Crossing the Reality Gap

Kinematic Synthesis using Reinforcement Learning

Smart Start: A Directed and Persistent Exploration Framework for Reinforcement Learning

Vision-Based Reinforcement Learning for the guidance of an AR Drone 2

Limit order placement optimization with Deep Reinforcement Learning: Learning from patterns in cryptocurrency market data

Robotic Auxiliary Losses for continuous reinforcement learning

Action Selection Policies for Walking Monte Carlo Tree Search

Hierarchical Reinforcement Learning for Spatio-temporal Planning

Adaptation of a non-linear controller based on Reinforcement Learning

Adaptive Critic Control For Aircraft Lateral-Directional Dynamics: An Evaluation of J-SNAC Algorithm as a Fault Tolerant Flight Control Framework

Optimizing Air-to-Air Missile Guidance using Reinforcement Learning