Survival Reinforcement Learning: Toward Scalable Self-Supervised RL

arXiv:2605.31273 · cs.LG · Submitted 2026-05-29 · Read on arXiv

cs.LG

Submitted: 2026-05-29

Updated: 2026-09-18

Code: https://github.com/Simple-Robotics/survival-reinforcement-learning

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

Terminology

• Reinforcement Learning — 23× in this paper · explained in 4 episodes
• Actor — 16× in this paper · explained in 3 episodes
• Survival Reinforcement Learning — 8× in this paper
• Scaling Laws — 6× in this paper · explained in 4 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Activation Function — 2× in this paper · explained in 1 episode
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Contrastive Reinforcement Learning — 2× in this paper
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Structural Constraints — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Online Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Reward Shaping — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Layer Normalization
• Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
• Accelerating Goal-Conditioned RL Algorithms and Research
• Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
• Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
• Scaling Laws for Autoregressive Generative Modeling
• Training Compute-Optimal Large Language Models
• Scaling Laws for Neural Language Models
• SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
• Horizon Generalization in Reinforcement Learning
• Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
• Scaling Laws for a Multi-Agent Reinforcement Learning Model
• Horizon Reduction Makes RL Scalable
• SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
• Scaling Laws for Imitation Learning in Single-Agent Games

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