david-abel / state_abstraction
Code for abstracting, evaluating, and visualizing Markov Decision Processes.
☆10Updated 8 years ago
Alternatives and similar repositories for state_abstraction:
Users that are interested in state_abstraction are comparing it to the libraries listed below
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- ☆26Updated 6 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Code for running EX2: Exploration with Exemplar Models for Deep Reinforcement Learning☆9Updated 6 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"☆10Updated 6 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 7 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Implementation of Random Expert Distillation☆29Updated 5 years ago
- Model Primitive Hierarchical Reinforcement Learning☆13Updated 2 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- ☆35Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 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
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 5 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Code for human intervention reinforcement learning☆33Updated 7 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- A codebase for experimenting with various approaches to action priors.☆18Updated 6 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Autoregressive policies for continuous control reinforcement learning☆28Updated 5 years ago