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:
- Cellular automaton-based calculus for the masses☆24Updated 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
- Bayesian Inference and parameter estimation in quant finance.☆42Updated 6 years ago
- Cythonized versions of the OpenAI Gym classic control environments.☆12Updated 5 years ago
- Automatic Differentiation for Gradient Boosted Decision Trees.☆13Updated 3 years ago
- Evolving deep neural network agents using Genetic Algorithms☆67Updated 6 years ago
- Evolution Strategy Library☆55Updated 4 years ago
- Mixture Density Network with Tensorflow Probability. Demonstrate the usefulness of multi-modal distribution outputs for neural networks.☆19Updated 5 years ago
- Reinforcement learning in TensorFlow 2☆22Updated 3 years ago
- Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.☆56Updated 6 years ago
- Generalized AI to perform a multitude of tasks written in python3☆21Updated last year
- A method to search for a subset of best performing items wrt black-box reward function☆12Updated 6 years ago
- Public repository for the work on bandit problems☆23Updated last year
- Bayesian Optimization of Risk Measures☆21Updated last year
- Devise: An Alternative Exchange Containing Assets Engineered To Help Fund Managers Hunt Alpha☆27Updated 6 years ago
- Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…☆19Updated 4 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆55Updated 6 years ago
- some common TD Learning algorithms☆66Updated 5 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Probabilistic and Directional Relu Wavenet with forex and economic news data☆25Updated 5 years ago
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆53Updated 4 years ago
- A library that makes Evolutionary Strategies (ES) simple to use.☆180Updated 4 years ago
- PaloBoost is an overfitting-robust Gradient Boosting algorithm.☆15Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.☆19Updated 7 years ago
- Reinforcement Learning and Deep Learning Resources☆16Updated 7 years ago
- Deep RL for portfolio management☆12Updated 6 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 8 years ago