mabirck / AttentionTRLLinks
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
☆10Updated 7 years ago
Alternatives and similar repositories for AttentionTRL
Users that are interested in AttentionTRL are comparing it to the libraries listed below
Sorting:
- ☆35Updated 7 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 7 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 8 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 5 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 7 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆49Updated 7 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- The implementation of Discriminator Soft Actor Critic☆15Updated 5 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆79Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Exploration by Random Network Distillation☆15Updated 6 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Reinforcement Learning implementations and research prototyping in TensorFlow☆82Updated 6 years ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆31Updated 6 years ago
- Random Network Distillation(RND) algo in Pytorch☆50Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- ICRL 2020☆19Updated 5 years ago
- Code associated with our paper "Robust Domain Randomization for Reinforcement Learning"☆12Updated 2 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 5 years ago
- ☆72Updated 6 years ago