Autonomous-Agents
Layer 4 — Intelligence
Bayesian Updating for Prediction Market Agents: How to Update Beliefs with New Information
How autonomous betting agents use Bayes' theorem to update probability estimates when new polls, news, or market data arrives — with full derivations, conjugate priors, multi-source fusion, and production Python code.
Read → Layer 4 — IntelligenceReinforcement Learning for Dynamic Bet Timing and Execution
How to frame autonomous bet timing as a reinforcement learning problem — MDPs, Q-learning, DQN, policy gradients, sim-to-real transfer, and combining RL execution with model-based edge detection.
Read →Realbet.io Opens First Crypto Casino to Autonomous AI Agents — What It Means for Agent Infrastructure
Realbet.io is the first crypto casino to explicitly allow autonomous AI agents to gamble with real capital. We break down what this means for the agent betting stack.
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