Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space.
☆24Nov 29, 2018Updated 7 years ago
Alternatives and similar repositories for temporal_abstraction
Users that are interested in temporal_abstraction are comparing it to the libraries listed below
Sorting:
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Dec 16, 2018Updated 7 years ago
- Implementation of the Option-Critic Architecture☆41Dec 9, 2018Updated 7 years ago
- Exploration by Random Network Distillation☆15Dec 30, 2018Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Jun 1, 2017Updated 8 years ago
- Project on Successor Features in Deep Reinforcement Learning and Transfer Learning☆24Feb 5, 2018Updated 8 years ago
- Implementation of Variational Intrinsic Control in tensorflow☆11Apr 5, 2017Updated 8 years ago
- Successor Options is an option discovery framework for Reinforcement Learning☆14Jun 17, 2024Updated last year
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆182Sep 21, 2017Updated 8 years ago
- Surprise-based intrinsic motivation for deep reinforcement learning☆21Mar 6, 2017Updated 8 years ago
- ☆43Feb 9, 2017Updated 9 years ago
- Deep Reinforcement Learning with Fined Grained Action Repetition☆22Jan 8, 2018Updated 8 years ago
- Deep Successor Representation☆18Mar 6, 2018Updated 7 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Feb 23, 2017Updated 9 years ago
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Feb 17, 2020Updated 6 years ago
- ☆25Dec 8, 2022Updated 3 years ago
- SeqGAN but with more bells and whistles☆24Feb 15, 2018Updated 8 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Feb 3, 2022Updated 4 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Jul 31, 2020Updated 5 years ago
- Implementation of Deepmind's Neural Episodic Control☆58May 9, 2018Updated 7 years ago
- Proximal Policy Option-Critic☆26Jan 4, 2019Updated 7 years ago
- Experiment for General E(2)-Equivariant Steerable CNNs☆30Feb 26, 2021Updated 5 years ago
- ☆31Jul 1, 2019Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Mar 5, 2018Updated 8 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Jan 19, 2023Updated 3 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆36Jul 6, 2022Updated 3 years ago
- Convolutional Variational Autoencoder☆34Nov 13, 2019Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆155Sep 22, 2017Updated 8 years ago
- A simple repository showcasing a few LLM Evaluation strategies and leverages W&B Sweeps to optimize the LLM system.☆12Jul 11, 2023Updated 2 years ago
- PyTorch implementation of Distribution Correction(DisCor) based on Soft Actor-Critic.☆38Jun 22, 2022Updated 3 years ago
- emotion recognition through eeg by using HOS method☆10Dec 29, 2021Updated 4 years ago
- Active Learning with Partial Feedback, ICLR 2019☆11Apr 27, 2020Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆37Dec 7, 2020Updated 5 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Nov 22, 2017Updated 8 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Apr 3, 2020Updated 5 years ago
- 3rd placed submission to the NeurIPS MineRL competition 2019☆10Mar 24, 2023Updated 2 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated last year
- ☆11Oct 11, 2022Updated 3 years ago
- hierarchical deep reinforcement learning algorithms☆43Dec 12, 2017Updated 8 years ago
- Experiments of the "Multi-Agent Trajectory Planning with NUV Priors" paper☆12Oct 14, 2024Updated last year