tomsilver / policies_logic_programsLinks
Few-shot Bayesian Imitation Learning with Policies as Logic over Programs
☆19Updated 6 months ago
Alternatives and similar repositories for policies_logic_programs
Users that are interested in policies_logic_programs are comparing it to the libraries listed below
Sorting:
- ☆25Updated 6 years ago
- rlcourse-march-17-hugobb created by GitHub Classroom☆16Updated last year
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- ☆27Updated 4 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated last year
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 2 years ago
- Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.☆25Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆45Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated 2 years ago
- Performant, differentiable reinforcement learning☆24Updated 2 years ago
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)☆14Updated 3 years ago
- Source for Action Schema Networks paper (AAAI'18)☆31Updated 2 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- PDDL planner interface for PDDLGym.☆32Updated last month
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Code that translates grammar into PDDL, runs a planner to produce multiple plans, translates plans into trainable lale pipelines and trai…☆18Updated 3 months ago
- Phy-Q: A Testbed for Physical Reasoning☆45Updated last year
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Updated 3 years ago
- Code for "Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks" (AAAI 2021)☆17Updated 2 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- ☆30Updated last year
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 6 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆29Updated 6 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 4 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago