mtrazzi / harlow
Tutorial & scripts to run a meta-rl model on DeepMind Lab's Harlow task environment.
☆16Updated 6 years ago
Alternatives and similar repositories for harlow:
Users that are interested in harlow are comparing it to the libraries listed below
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆58Updated 6 years ago
- A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning w…☆34Updated 5 years ago
- The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.☆37Updated 6 years ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆35Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- Project on Successor Features in Deep Reinforcement Learning and Transfer Learning☆24Updated 7 years ago
- Gridworld for MARL experiments☆139Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 4 years ago
- PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two …☆14Updated 4 years ago
- A customizable framework to create maze and gridworld environments☆265Updated 6 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆247Updated last year
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆204Updated 4 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆45Updated last year
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆160Updated 3 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆23Updated 6 years ago
- impact-driven-exploration☆130Updated last year
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- Imagination Augmented Agents in TensorFlow☆20Updated 6 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆187Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆198Updated 2 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆83Updated 4 years ago
- ☆31Updated 5 years ago
- ☆43Updated 8 years ago