johannesnauta / pytorch-pne
PyTorch implementation of Probabilistic Network Ensembles on toy problems
☆23Updated 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
- ☆49Updated 3 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆45Updated 4 years ago
- Baselines for Model-Based Optimization☆53Updated 3 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆41Updated 4 years ago
- Representation Learning in RL☆16Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated last year
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Generalised UDRL☆37Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆31Updated 3 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- ☆43Updated 3 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆16Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Variational Reinforcement Learning☆16Updated 9 months ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆36Updated last year
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 5 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆52Updated last year
- ☆32Updated 9 months ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆24Updated 5 months ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆38Updated 3 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago