tianjunz / MADE
☆19Updated 3 years ago
Alternatives and similar repositories for MADE:
Users that are interested in MADE are comparing it to the libraries listed below
- Generalised UDRL☆37Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆15Updated 3 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆18Updated 3 years ago
- Variational Reinforcement Learning☆16Updated 6 months ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 4 years ago
- Representation Learning in RL☆16Updated 2 years ago
- Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)☆37Updated 3 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies☆18Updated 4 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆20Updated 4 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)☆18Updated 3 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated last year
- ☆39Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- My Body Is A Cage☆38Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆38Updated 3 months ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆52Updated 3 years ago
- ☆11Updated 2 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated 6 months ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆32Updated 4 years ago
- Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)☆20Updated 3 years ago
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆17Updated 2 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆34Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago