llan-ml / tespLinks
Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
☆34Updated 6 years ago
Alternatives and similar repositories for tesp
Users that are interested in tesp are comparing it to the libraries listed below
Sorting:
- ☆62Updated 7 years ago
- ☆43Updated 6 years ago
- ☆92Updated last year
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- ☆99Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 7 months ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- ☆54Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Implementation of the Option-Critic Architecture☆41Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 6 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago