makokal / MDPN
Unified notation for Markov Decision Processes PO(MDP)s
☆24Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for MDPN
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- ☆66Updated 8 months ago
- krazy grid world☆25Updated 4 years ago
- ☆85Updated 3 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 5 years ago
- ☆42Updated 7 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- ☆44Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆52Updated 7 years ago
- Invariant Causal Prediction for Block MDPs☆43Updated 4 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆42Updated last year
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 6 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆90Updated 6 years ago
- Implementation of Deepmind's Neural Episodic Control☆57Updated 6 years ago
- Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Ale…☆12Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆28Updated 6 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆112Updated 4 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆83Updated 4 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 6 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Some hard problems for reinforcement learning.☆32Updated 6 years ago
- Library to compare and evaluate reward functions☆61Updated last year
- A job launching library for docker, EC2, GCP, etc.☆57Updated 3 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago