kayuksel / pytorch-ars
PyTorch Implementations of Augmented Random Search
☆18Updated 6 years ago
Alternatives and similar repositories for pytorch-ars:
Users that are interested in pytorch-ars are comparing it to the libraries listed below
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆93Updated 4 years ago
- Minimal and Clean Reinforcement Learning Examples in PyTorch☆42Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more w…☆32Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind☆10Updated 7 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Deep RL for portfolio management☆12Updated 6 years ago
- Guided-Meta Policy Search☆40Updated 2 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 3 years ago
- From simulation to real world using deep generative models☆17Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- ☆55Updated 2 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- ☆53Updated 7 years ago
- Reinforcement Learning implementations and research prototyping in TensorFlow☆82Updated 5 years ago
- Autoregressive policies for continuous control reinforcement learning☆29Updated 5 years ago
- Logarithmic Reinforcement Learning☆26Updated last year
- Implementation of Neural Episodic Control in Tensorflow☆26Updated 5 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆45Updated 7 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆18Updated 5 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 5 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆27Updated last month
- Distributed DDPG implementation in pytorch☆9Updated 6 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 3 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago