Reflex: Reinforcement Learning with Reflection Symmetry Exploitation in State-Based Continuous Control

arXiv:2605.23415 · cs.LG, cs.AI · Submitted 2026-05-22 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-05-22

Updated: 2026-09-19

Code: https://github.com/TonyStark042/Reflex

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

Terminology

• Reinforcement Learning — 45× in this paper · explained in 4 episodes
• Regularization — 30× in this paper · explained in 3 episodes
• Sample Efficiency — 21× in this paper · explained in 4 episodes
• Actor — 10× in this paper · explained in 3 episodes
• Data Augmentation — 10× in this paper · explained in 7 episodes
• Consistency — 9× in this paper · explained in 3 episodes
• Action Space — 7× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 6× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Gaussian Noise — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Random Amplitude Scaling — 2× in this paper
• Reward Function — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Dynamic Weighting — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generalized Advantage Estimation — 1× in this paper
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes

Sources

• Soft Actor-Critic Algorithms and Applications
• Revisiting Data Augmentation in Deep Reinforcement Learning
• Adam: A Method for Stochastic Optimization
• OpenAI Gym
• Continuous control with deep reinforcement learning
• Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
• Equivariant Offline Reinforcement Learning
• Group Equivariant Deep Reinforcement Learning
• High-Dimensional Continuous Control Using Generalized Advantage Estimation
• Proximal Policy Optimization Algorithms

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