3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents
Ammar Fayad, Majd Ibrahim
Discovering successful coordinated behaviors is a central challenge in Multi-Agent Reinforcement Learning (MARL) since it requires exploring a joint action space that grows exponen…
cs.LG2021★ 3 cited
Behavior-Guided Actor-Critic: Improving Exploration via Learning Policy Behavior Representation for Deep Reinforcement Learning
Ammar Fayad, Majd Ibrahim
In this work, we propose Behavior-Guided Actor-Critic (BAC), an off-policy actor-critic deep RL algorithm. BAC mathematically formulates the behavior of the policy through autoenco…