HumanCompatibleAI / evaluating-rewardsLinks
Library to compare and evaluate reward functions
☆67Updated last year
Alternatives and similar repositories for evaluating-rewards
Users that are interested in evaluating-rewards are comparing it to the libraries listed below
Sorting:
- Revisiting Rainbow☆75Updated 4 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆88Updated 4 years ago
- impact-driven-exploration☆131Updated last year
- PAIRED in PyTorch 🔥☆62Updated 2 years ago
- ☆86Updated last year
- A collection of RL algorithms written in JAX.☆102Updated 3 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 5 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆82Updated 3 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated last year
- ☆84Updated 4 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆107Updated 3 years ago
- ☆87Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆192Updated 3 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆77Updated last year
- On the model-based stochastic value gradient for continuous reinforcement learning☆56Updated 2 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- ☆47Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆57Updated 3 years ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆81Updated 3 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆46Updated last year
- ☆84Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago