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:
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 8 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 7 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- Noisy Networks for Exploration☆186Updated 7 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 6 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- Train an RL agent to play multiple Atari games at once☆69Updated 9 years ago
- Actor Critic using Kronecker-Factored Trust Region☆19Updated 7 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 8 years ago
- C51-DDQN in Keras☆126Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Hybrid Reward Architecture☆78Updated 7 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 4 years ago
- implement of prioritized experience replay☆159Updated 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
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆160Updated 5 years ago
- Implementation of PPO in Pytorch☆41Updated 7 years ago
- PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch☆114Updated 8 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago