martyput / MDP_book
☆95Updated 2 months ago
Alternatives and similar repositories for MDP_book:
Users that are interested in MDP_book are comparing it to the libraries listed below
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆42Updated 5 months ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- Reinforcement learning library in JAX.☆102Updated last year
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- ☆38Updated last year
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- ☆66Updated 9 months ago
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆22Updated 2 years ago
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 6 months ago
- ☆28Updated 6 months ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆44Updated last year
- PAIRED in PyTorch 🔥☆56Updated last year
- ☆65Updated 3 months ago
- ☆30Updated last year
- Code for magnetic mirror descent.☆15Updated last year
- ☆85Updated 4 months ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆17Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆84Updated 3 years ago
- Model-based reinforcement learning in TensorFlow☆55Updated 3 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated last year
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- ☆99Updated 4 months ago
- Benchmarking RL generalization in an interpretable way.☆134Updated 10 months ago
- Library to compare and evaluate reward functions☆62Updated last year
- Conservative Q learning in Jax☆51Updated last year
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 3 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆59Updated 11 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆51Updated 2 years ago