karush17 / Evolution-Strategies-PyTorchLinks
Implementation of OpenAI's Evolution Strategies in PyTorch.
☆20Updated 5 years ago
Alternatives and similar repositories for Evolution-Strategies-PyTorch
Users that are interested in Evolution-Strategies-PyTorch are comparing it to the libraries listed below
Sorting:
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Prioritized Sequence Experience Replay☆10Updated 4 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆33Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Energy-based Surprise Minimization for Multi-Agent Value Factorization☆12Updated last year
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Hierarchical Attention in Reinforcement Learning for Stock Order Executions☆31Updated 4 years ago
- PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner☆27Updated 5 years ago
- Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorch☆27Updated 5 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- ☆72Updated 6 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 5 years ago
- 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
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆46Updated 7 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 6 months ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆53Updated 4 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression☆29Updated 5 years ago
- MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitfli…☆19Updated 7 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- General purpose environment wrappers for openai gym☆26Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago