kimhc6028 / policy-gradient-importance-samplingLinks
Policy gradient reinforcement learning algorithm with importance sampling
☆32Updated 7 years ago
Alternatives and similar repositories for policy-gradient-importance-sampling
Users that are interested in policy-gradient-importance-sampling are comparing it to the libraries listed below
Sorting:
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- Train an RL agent to play multiple Atari games at once☆69Updated 9 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)☆80Updated 8 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 5 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 6 years ago
- some common TD Learning algorithms☆66Updated 5 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 9 months ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆94Updated 4 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- Ranking Policy Gradient☆23Updated 5 years ago
- ☆65Updated last year
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago