An Analysis of Streaming Deep Reinforcement Learning for Adaptive Continual Learning in Robotics

arXiv:2609.28807 · cs.RO · Submitted 2026-09-23 · Read on arXiv

cs.RO

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Adaptation — 45× in this paper · explained in 1 episode
• Reinforcement Learning — 19× in this paper · explained in 4 episodes
• Adam — 14× in this paper · explained in 2 episodes
• Continual Learning — 12× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 10× in this paper · explained in 2 episodes
• Actor — 9× in this paper · explained in 3 episodes
• Trace — 7× in this paper · explained in 2 episodes
• Reward Function — 6× in this paper · explained in 2 episodes
• Activation Function — 4× in this paper · explained in 1 episode
• Action Space — 3× in this paper · explained in 1 episode
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Overshooting-bounded Gradient Descent — 2× in this paper
• Proximal Policy Optimization — 2× in this paper
• Sample Efficiency — 2× in this paper · explained in 4 episodes
• Actor-Critic Architecture — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Markov Decision Process — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Non-stationarity — 1× in this paper · explained in 2 episodes
• Online Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

Sources

• Streaming Deep Reinforcement Learning Finally Works

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