Officium / RL-ExperimentsLinks
High-quality implementations of deep reinforcement learning algorithms for experiments
☆51Updated last year
Alternatives and similar repositories for RL-Experiments
Users that are interested in RL-Experiments are comparing it to the libraries listed below
Sorting:
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 8 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆133Updated 6 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆208Updated 4 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆245Updated 3 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆117Updated 2 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆67Updated 7 years ago
- A PyTorch implementation of Rainbow DQN agent☆170Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- Random Network Distillation(RND) algo in Pytorch☆51Updated 6 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆210Updated 6 years ago
- Deep Variational Reinforcement Learning☆138Updated 3 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…☆52Updated 5 years ago