uncharted-technologies / robust-domain-randomizationLinks
Code associated with our paper "Robust Domain Randomization for Reinforcement Learning"
☆12Updated 3 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
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- Single Episode Policy Transfer in Reinforcement Learning☆17Updated 3 years ago
- Exploration by Random Network Distillation☆15Updated 6 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- ☆62Updated 7 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35Updated 6 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 6 years ago
- ☆92Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Updated 6 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 5 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- ☆85Updated 4 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 3 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆37Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆96Updated 5 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆29Updated 6 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 6 years ago
- ☆99Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14Updated 7 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago