csiro-mlai / RL-BOED
☆10Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for RL-BOED
- ☆16Updated 2 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆48Updated 5 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆10Updated 3 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- ☆26Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆37Updated 3 years ago
- ☆28Updated 3 years ago
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆23Updated 2 years ago
- Invariant Causal Prediction for Block MDPs☆43Updated 4 years ago
- ☆44Updated 2 years ago
- ☆28Updated last year
- ☆85Updated 3 months ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 3 years ago
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆31Updated last year
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Updated 4 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆26Updated last year
- Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.☆23Updated last year
- ☆9Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆36Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆35Updated last week
- Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.☆16Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆50Updated 3 years ago
- JAX implementations of various deep reinforcement learning algorithms.☆19Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆19Updated last year
- Representation Learning in RL☆16Updated 2 years ago
- hsvgbkhgbv / Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learningThermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning☆10Updated 5 years ago