dbobrenko / awesome-rlLinks
Awesome RL: Papers, Books, Codes, Benchmarks
☆116Updated 2 years ago
Alternatives and similar repositories for awesome-rl
Users that are interested in awesome-rl are comparing it to the libraries listed below
Sorting:
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆133Updated 6 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 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
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆181Updated 8 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 7 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆206Updated 5 years ago
- ☆43Updated 8 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 8 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- ☆69Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆244Updated 3 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆301Updated 7 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆172Updated 4 years ago
- NIPS 2017 Value Prediction Network☆166Updated 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