martius-lab / GateL0RDLinks
Code for our NeurIPS 2021 paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
☆22Updated 2 years ago
Alternatives and similar repositories for GateL0RD
Users that are interested in GateL0RD are comparing it to the libraries listed below
Sorting:
- Code for the paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains☆10Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆147Updated 2 years ago
- ☆48Updated 2 years ago
- Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".☆22Updated 11 months ago
- ☆48Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆165Updated 3 months ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆50Updated last year
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- Simple maze environments using mujoco-py☆56Updated last year
- Tutorials on learning and using successor representations.☆53Updated 5 years ago
- Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines☆50Updated 3 years ago
- Conservative Q learning in Jax☆55Updated 2 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆26Updated 2 years ago
- Proximal Policy Option-Critic☆25Updated 6 years ago
- ☆114Updated 2 years ago
- ☆23Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 3 years ago
- Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.☆13Updated last year
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆58Updated 3 years ago
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆131Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆91Updated 4 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆222Updated last year
- Standalone library of frequently-used wrappers for dm_env environments.☆17Updated last year
- Repository for the paper: "Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation" @ NeurIPS 2022☆19Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆107Updated 2 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago