Lists (8)
Stars
MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
Official Pytorch Implementation of our paper: Video Person Re-ID : Fantastic Techniques and Where to Find Them
The first place solution for the NeurIPS 2021 Nethack Challenge -- https://www.aicrowd.com/challenges/neurips-2021-the-nethack-challenge
Code to reproduce the results for Compositional Attention
Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M frames. 🌈
IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"
A modular implementation of PPO, and soon hopefully other algorithms.
Sandbox environment for generalizable agent research
Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)
Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
PyTorch Implementation of COPA for coordinating teams that can dynamically change.
Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)
Minimal Decision Transformer Implementation written in Jax (Flax).
Model-based reinforcement learning using CEM, MPC and PETS
A library containing a collection of distance and similarity measures for data analysis
Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer
Reward Propagation using Graph Convolutional Networks
A simple black-box optimization framework to train your pytorch models for optimizing non-differentiable objectives