jsikyoon / bmaml_rlLinks
This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
☆20Updated 2 years ago
Alternatives and similar repositories for bmaml_rl
Users that are interested in bmaml_rl are comparing it to the libraries listed below
Sorting:
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆32Updated 2 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆33Updated 4 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Updated 4 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- ☆26Updated 2 years ago
- ☆43Updated 6 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 6 years ago
- ☆54Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆17Updated last year
- ☆17Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆21Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- ☆62Updated 7 years ago
- Code for Policy Consolidation for Continual Reinforcement Learning☆10Updated 6 years ago
- ☆29Updated 4 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.☆25Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 2 months ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆47Updated 2 years ago