nsidn98 / PyThor
Template for projects in PyTorch powered with PyTorch Lightning, Telegrad and MLflow. Get updates on mobile and streamline PyTorch code for research.
☆10Updated last year
Alternatives and similar repositories for PyThor:
Users that are interested in PyThor are comparing it to the libraries listed below
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆63Updated 5 months ago
- Graph convolutional memory☆16Updated 2 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆77Updated last year
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆32Updated 3 years ago
- DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement lea…☆35Updated last year
- Ball & beam OpenAI gym environments☆15Updated 5 years ago
- Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.☆27Updated last year
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆27Updated 3 years ago
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…☆25Updated 9 months ago
- MBRL library in JAX☆10Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 9 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆51Updated 2 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 4 years ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆32Updated 4 years ago
- [CoRL 2021] A robotics benchmark for cross-embodiment imitation.☆59Updated last year
- [NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow☆28Updated 5 months ago
- ☆21Updated last year
- Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020.☆25Updated 3 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆53Updated 4 years ago
- ☆41Updated 3 months ago
- RL Reach is a platform for running reproducible reinforcement learning experiments.☆42Updated 3 years ago
- Scripts to recreate the D4RL datasets with Minari☆19Updated 2 weeks ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆20Updated 3 months ago
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆99Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆53Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated 2 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆22Updated last year
- This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…☆22Updated 3 months ago