Reinforcement Learning: CartPole, Lunar Lander and Bipedal Walker

Created by team Ack-Ack Learn on July 23, 2022

Using the stable_baselines3 library, we tried to solve the problems proposed in the challenge. We used a Proximal Policy Optimization (PPO) Model. The Policy we used is a standard MLP. We tried to change the number of iteration to achieve a better performance.

Category tags:

Github Presentation

Explore more applications

FinFlow AI

FinFlow AI is a multi-agent finance automation system where AI agents collaborate through Band to automate procurement, payments, cash flow analysis, and reconciliation for smarter enterprise financial decisions.

FinFlow AI

AI/ML APIAgentOpsBand Intergrations

Drift Harness

Every AI system drifts: it softens its position, drops a constraint, states a guess as fact. Today a human has to catch it every time. Drift Harness automates that loop — fanning each exchange across 13 specialist agents that return certai

KEEL

Band Agentic MeshBand Intergrations

THE COUNCIL: Expert Advisors Who Fight For You

Five AI advisors with distinct, persistent models debate your critical decisions in real-time, delivering a synthesized verdict with preserved, cryptographically secured dissent grounded in live salary and market benchmarking data via Band.ai.

Out of Band

AI/ML APIBright Data Web Scraper APIBand IntergrationsBand Agentic MeshFeatherless

AegisOne

AI-Powered Autonomous Detection, Investigation and Response Platform.

HackkAI

AI/ML APIBand Control PlaneBand IntergrationsFeatherlessHuggingFace HubLangChainQdrant

ProofGate

ProofGate coordinates five Band agents through structured `proofgate.band.v1` handoffs to plan, resolve, isolate failures, retry once, and deliver one terminal result.

The One Shot

Band IntergrationsBand Agentic MeshBand Control PlaneChatGPTCodexOpenAIrest api