T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

arXiv:2608.30765 · cs.LG · Submitted 2026-08-31 · Read on arXiv

cs.LG

Submitted: 2026-08-31

Updated: 2026-08-31

Comments: 8 pages, 7 figures, 4 tables. Published in the 2023 International Joint Conference on Neural Networks (IJCNN)

Journal ref: 2023 International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2023

DOI: 10.1109/IJCNN54540.2023.10191536

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 21× in this paper · explained in 4 episodes
• Hypernetwork — 14× in this paper · explained in 3 episodes
• Actor — 7× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 6× in this paper · explained in 2 episodes
• Distillation — 5× in this paper · explained in 2 episodes
• Sample Efficiency — 5× in this paper · explained in 4 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Multi-gate Mixture-of-Experts — 3× in this paper
• Soft Actor-Critic — 3× in this paper
• Ablation Studies — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Deep Reinforcement Learning (DRL) — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• IEEE Intelligent Vehicles Symposium — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Markov Decision Process — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Soft Actor-Critic (SAC) — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Multi-Task Learning with Deep Neural Networks: A Survey
• Adam: A Method for Stochastic Optimization

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