veronicachelu / temporal_abstraction
Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space.
☆23Updated 5 years ago
Related projects: ⓘ
- A3C style Option-Critic with deliberation cost☆39Updated 6 years ago
- ☆29Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆18Updated 5 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆13Updated 5 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆15Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 4 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆48Updated 5 years ago
- Implementation of the Option-Critic Architecture☆37Updated 5 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆25Updated 4 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆15Updated 4 years ago
- ☆41Updated 5 years ago
- Hierarchical Self-Play☆21Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆22Updated 5 years ago
- Proximal Policy Option-Critic☆21Updated 5 years ago
- Exploration by Random Network Distillation☆16Updated 5 years ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆16Updated 4 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆30Updated 4 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 4 years ago
- Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.☆9Updated 5 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆17Updated 2 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 4 years ago
- ☆59Updated 6 years ago
- ☆42Updated 7 years ago
- Exploration based Reinforcement Learning. (Montezuma Revenge)☆14Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14Updated 6 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 5 years ago