Deep reinforcement learning versus evolution strategies: A comparative survey
AY Majid, S Saaybi, V Francois-Lavet… - … on Neural Networks …, 2023 - ieeexplore.ieee.org
Deep reinforcement learning (DRL) and evolution strategies (ESs) have surpassed human-
level control in many sequential decision-making problems, yet many open challenges still …
level control in many sequential decision-making problems, yet many open challenges still …
Reinforcement Learning Agents in Procedurally-generated Environments with Sparse Rewards
O Nahirnyi - 2022 - er.ucu.edu.ua
Solving sparse-reward environments is one of the most considerable challenges for state-of-
the-art (SOTA) Reinforcement Learning (RL). Recent usage of sparse-rewards in …
the-art (SOTA) Reinforcement Learning (RL). Recent usage of sparse-rewards in …