voot-t / guide-actor-criticLinks
Keras implementation of guide actor-critic for continuous control
☆10Updated 7 years ago
Alternatives and similar repositories for guide-actor-critic
Users that are interested in guide-actor-critic are comparing it to the libraries listed below
Sorting:
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Ranking Policy Gradient☆23Updated 5 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- ☆35Updated 7 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 8 years ago
- This is my implementation of the Optimality Tightening☆37Updated 8 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 8 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- SeqGAN but with more bells and whistles☆24Updated 7 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 7 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 7 years ago
- Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.☆11Updated 6 years ago
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 4 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 6 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago