palmbook / cartpoleLinks
OpenAI's cartpole env solver.
☆18Updated 6 years ago
Alternatives and similar repositories for cartpole
Users that are interested in cartpole are comparing it to the libraries listed below
Sorting:
- Evolution Strategy Library☆55Updated 5 years ago
- Bayesian Inference and parameter estimation in quant finance.☆42Updated 6 years ago
- Evolving deep neural network agents using Genetic Algorithms☆67Updated 6 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations☆29Updated 6 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆53Updated 4 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 2 years ago
- Bayesian Optimization of Risk Measures☆21Updated last year
- ☆72Updated 2 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 8 years ago
- Devise: An Alternative Exchange Containing Assets Engineered To Help Fund Managers Hunt Alpha☆27Updated 6 years ago
- Feature selection for maximizing expected cumulative reward☆30Updated 7 years ago
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆55Updated 6 years ago
- Markov Decision Processes in Python☆15Updated 6 years ago
- General purpose environment wrappers for openai gym☆26Updated 6 years ago
- Public repository for the work on bandit problems☆23Updated last year
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- Code from the paper "Robust technical trading strategies using GP for algorithmic portfolio selection"☆9Updated 5 years ago
- some common TD Learning algorithms☆66Updated 5 years ago
- Python library for declarative, constrained, structured-output prediction.☆21Updated last year
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 2 years ago
- Robust Market Making via Adversarial Reinforcement Learning☆51Updated 5 years ago
- 🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray☆18Updated 6 years ago
- Cellular automaton-based calculus for the masses☆24Updated 6 years ago
- A library that makes Evolutionary Strategies (ES) simple to use.☆180Updated 4 years ago
- Comparison of bandit algorithms from the Reinforcement Learning bible.☆17Updated 7 years ago