GitHub15d
DQN (Deep Q-Network) Reinforcement Learning
This repository contains a Deep Q-Network (DQN) implementation using PyTorch. The DQN model is trained using a Gym environment, and it aims to learn how to solve reinforcement learning tasks. Create a ...
GitHub18d
README.md
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Frontiers16d
Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization
However, applying deep SNNs in reinforcement ... learning environments, we construct our spiking Q networks as same as the DQN architecture shown in Figure 2. Three-layers spiking convolution neural ...
Open-source DeepSeek-R1 uses pure reinforcement learning to match OpenAI o1 — at 95% less cost
The company developed DeepSeek-R1 by using pure reinforcement learning on top of DeepSeek-V3-Base, and matched or beat o1 on some benchmarks.
DeepSeek-R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost
DeepSeek-R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. This story focuses on exactly how ...
OpenAI’s o3 Model Stuns the World with Gold Medal Win at IOI
OpenAI's o3 model wins gold at IOI, surpassing human benchmarks and redefining AI coding capabilities. These groundbreaking ...
unite5d
The Many Faces of Reinforcement Learning: Shaping Large Language Models
In recent years, Large Language Models (LLMs) have significantly redefined the field of artificial intelligence (AI), ...