sroj / neat-openai-gymLinks
NEAT for Reinforcement Learning on the OpenAI Gym
☆27Updated 2 years ago
Alternatives and similar repositories for neat-openai-gym
Users that are interested in neat-openai-gym are comparing it to the libraries listed below
Sorting:
- Neuro-evolution for OpenAI Gym environments☆56Updated 4 years ago
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆117Updated last year
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆121Updated last year
- Qiita投稿用に作成したAgent57(強化学習)の実装コードです。☆45Updated 2 years ago
- A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…☆72Updated 3 years ago
- CoDeepNEAT inspired implementation using Keras and Tensorflow as backend.☆37Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- An implementation of CoDeepNEAT using pytorch with extensions☆31Updated 4 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆32Updated 4 years ago
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆106Updated 2 years ago
- Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorch☆27Updated 5 years ago
- Implementation of OpenAI's Evolution Strategies in PyTorch.☆20Updated 5 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆53Updated 4 years ago
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆107Updated 10 months ago
- A fast Evolution Strategy implementation in Python☆274Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆144Updated 3 years ago
- General purpose environment wrappers for openai gym☆25Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Updated 6 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆65Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆200Updated 2 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- Proximal Policy Optimization implementation with TensorFlow☆107Updated 6 years ago