sophiagu / stable-baselines-tf2Links
stable-baselines for TF2.x
β22Updated 3 years ago
Alternatives and similar repositories for stable-baselines-tf2
Users that are interested in stable-baselines-tf2 are comparing it to the libraries listed below
Sorting:
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repositoryβ45Updated 5 years ago
- π³ Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.β69Updated 4 years ago
- Sample-Efficient Automated Deep Reinforcement Learningβ34Updated 4 years ago
- RUDDER: Return Decomposition for Delayed Rewardsβ47Updated 4 years ago
- Experiments with reinforcement learning and recurrent neural networksβ114Updated last year
- TF2 Implementation of the Soft Actor-Critic Algorithmβ44Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.β177Updated 10 months ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.β37Updated 2 years ago
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learningβ38Updated 2 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51β22Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various waysβ102Updated 4 years ago
- General purpose environment wrappers for openai gymβ25Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALEβ55Updated 2 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,β¦β89Updated 2 years ago
- Hierarchical Attention in Reinforcement Learning for Stock Order Executionsβ30Updated 4 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.β103Updated 3 months ago
- Industrial Benchmarkβ128Updated last year
- PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regressionβ27Updated 4 years ago
- Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorchβ27Updated 5 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to eβ¦β80Updated last year
- Upside-Down Reinforcement Learning (β κ€) implementation in PyTorch. Based on the paper published by JΓΌrgen Schmidhuber.β77Updated 4 years ago
- A collection of pre-trained RL agents using Stable Baselines3β127Updated 7 months ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.β51Updated 4 years ago
- β39Updated 5 years ago
- Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354β25Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"β181Updated 2 years ago
- π Paper: Deep Reinforcement Learning with Double Q-learning πΉοΈβ53Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computingβ133Updated 10 months ago
- Multi Type Mean Field Reinforcement Learningβ31Updated 2 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQFβ¦β32Updated 4 years ago