csiro-mlai / RL-BOEDLinks
☆12Updated 2 years ago
Alternatives and similar repositories for RL-BOED
Users that are interested in RL-BOED are comparing it to the libraries listed below
Sorting:
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆54Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 7 months ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.☆17Updated 3 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆42Updated 8 months ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆42Updated 4 years ago
- ☆16Updated 2 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆53Updated last year
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆26Updated last year
- ☆31Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- ☆30Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- ☆31Updated 4 years ago
- ☆18Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Dual optimization to learn laplacian eigenpairs in arbitrary spaces☆13Updated 5 months ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆12Updated last year
- Toolkit of Causal Model-based Reinforcement Learning.☆33Updated 2 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Updated 4 years ago
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆25Updated 3 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆18Updated 2 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆38Updated 4 years ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆36Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago