sebascuri / hucrlLinks
☆30Updated last year
Alternatives and similar repositories for hucrl
Users that are interested in hucrl are comparing it to the libraries listed below
Sorting:
- ☆99Updated 2 years ago
- ☆29Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- ☆92Updated last year
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 5 years ago
- ☆35Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆87Updated 4 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 3 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 6 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 8 months ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 7 years ago
- ☆19Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆35Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- ☆15Updated 4 years ago
- ☆28Updated 5 years ago
- Code accompanying the paper "Information Directed Reward Learning for Reinforcement Learning" (NeurIPS 2021).☆13Updated 3 years ago