johannesnauta / pytorch-pne
PyTorch implementation of Probabilistic Network Ensembles on toy problems
β23Updated 2 years ago
Alternatives and similar repositories for pytorch-pne:
Users that are interested in pytorch-pne are comparing it to the libraries listed below
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.β45Updated 4 years ago
- π Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)β18Updated last year
- β49Updated 3 years ago
- Baselines for Model-Based Optimizationβ53Updated 3 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes boundsβ25Updated last year
- on-policy optimization baselines for deep reinforcement learningβ30Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradientsβ32Updated 5 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environmentsβ37Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.β36Updated 4 years ago
- Generalised UDRLβ37Updated 2 years ago
- Variational Reinforcement Learningβ16Updated 8 months ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learningβ48Updated 3 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".β24Updated 2 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learningβ¦β36Updated last year
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"β40Updated last year
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20β¦β31Updated 3 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"β21Updated 3 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategiesβ11Updated 4 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020β41Updated 4 years ago
- Representation Learning in RLβ16Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]β37Updated 2 years ago
- Invariant Causal Prediction for Block MDPsβ44Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimationβ40Updated 5 months ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.β32Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimizationβ24Updated 4 years ago
- β28Updated 4 years ago
- β31Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.β20Updated 2 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.β25Updated 4 months ago
- β30Updated 4 years ago