ivegner / PyDSRL
Faithful Python implementation of the paper "Towards Deep Symbolic Reinforcement Learning" by Garnelo et al.
☆13Updated 4 years ago
Alternatives and similar repositories for PyDSRL:
Users that are interested in PyDSRL are comparing it to the libraries listed below
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- ☆43Updated 8 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- An implementation of the Escape Room domain for Hierarchical Reinforcement Learning.☆25Updated 5 years ago
- Reward Learning by Simulating the Past☆44Updated 5 years ago
- krazy grid world☆25Updated 5 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆45Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- ☆35Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 6 years ago
- ☆44Updated 6 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- ☆27Updated 5 years ago
- Reinforcement Learning via Latent State Decoding☆30Updated last year
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆18Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- ☆13Updated 5 years ago
- Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks☆49Updated 2 years ago
- Logarithmic Reinforcement Learning☆26Updated last year
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 2 years ago
- Reinforcement Learning papers on exploration methods.☆20Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- ☆65Updated last year
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago