bahh723 / model-free-rl-algos
☆8Updated 4 years ago
Alternatives and similar repositories for model-free-rl-algos:
Users that are interested in model-free-rl-algos are comparing it to the libraries listed below
- ☆60Updated 6 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆93Updated 6 years ago
- ☆97Updated last year
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- ☆23Updated last year
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- ☆30Updated last year
- This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms☆27Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- ☆65Updated 11 months ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆21Updated 5 years ago
- ☆91Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆23Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Gym environments modified with adversarial agents☆35Updated 7 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 4 years ago