uncharted-technologies / robust-domain-randomizationLinks
Code associated with our paper "Robust Domain Randomization for Reinforcement Learning"
☆12Updated 2 years ago
Alternatives and similar repositories for robust-domain-randomization
Users that are interested in robust-domain-randomization are comparing it to the libraries listed below
Sorting:
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 6 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆84Updated 4 years ago
- Exploration by Random Network Distillation☆15Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Single Episode Policy Transfer in Reinforcement Learning☆17Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 6 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 6 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Updated 4 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 6 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Sparse environment for MuJoCo suite (v2 and v3)☆8Updated 5 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 4 months ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago