LinZichuan / AdMRLLinks
Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
☆35Updated 4 years ago
Alternatives and similar repositories for AdMRL
Users that are interested in AdMRL are comparing it to the libraries listed below
Sorting:
- ☆62Updated 7 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- ☆44Updated 7 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆69Updated 5 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆106Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- A new paper list for multi-agent reinforcement learning (actively maintained)☆24Updated 5 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 3 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆49Updated 6 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 6 years ago
- ☆88Updated last year
- Single Episode Policy Transfer in Reinforcement Learning☆17Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 10 months ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 5 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 6 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated 2 years ago
- ☆92Updated 2 years ago
- Random Network Distillation(RND) algo in Pytorch☆51Updated 6 years ago