Library to compare and evaluate reward functions
☆68Oct 23, 2023Updated 2 years ago
Alternatives and similar repositories for evaluating-rewards
Users that are interested in evaluating-rewards are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Benchmark environments for reward modelling and imitation learning algorithms.☆46Sep 19, 2023Updated 2 years ago
- Experiments in applying interpretability techniques to learned reward functions.☆10Dec 11, 2020Updated 5 years ago
- ☆12Apr 25, 2022Updated 3 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆28Dec 7, 2021Updated 4 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Jun 17, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆110Jan 23, 2022Updated 4 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆78Dec 5, 2023Updated 2 years ago
- ☆10Mar 13, 2023Updated 3 years ago
- ☆16Nov 27, 2016Updated 9 years ago
- Models rigged with muscles and environments which incorporate PyMuscle fatigable muscle models☆20Apr 6, 2019Updated 7 years ago
- ☆31Feb 20, 2021Updated 5 years ago
- ☆10Mar 10, 2021Updated 5 years ago
- Code release for the paper "Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control"☆17Apr 9, 2024Updated 2 years ago
- ☆10Aug 17, 2022Updated 3 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020☆223Jun 5, 2023Updated 2 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,717Jan 7, 2025Updated last year
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Aug 2, 2018Updated 7 years ago
- JAX implementation of Graph Attention Networks☆13Jan 29, 2022Updated 4 years ago
- ☆13Jul 22, 2021Updated 4 years ago
- Original code for the paper "Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping" by Mezghani et al.☆18Jun 8, 2023Updated 2 years ago
- Implementation of clipped action policy gradient (CAPG) with PPO and TRPO☆31Jun 24, 2018Updated 7 years ago
- Proximal Policy Option-Critic☆26Jan 4, 2019Updated 7 years ago
- Redwood Research's transformer interpretability tools☆15Apr 15, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Implementation of Relational Deep Reinforcement Learning☆25Jan 31, 2020Updated 6 years ago
- ☆35Sep 14, 2021Updated 4 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Dec 13, 2019Updated 6 years ago
- ☆21Mar 14, 2021Updated 5 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆90Jan 22, 2019Updated 7 years ago
- ☆26Mar 16, 2023Updated 3 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Nov 24, 2022Updated 3 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Dec 1, 2019Updated 6 years ago
- ☆44Oct 27, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆35Mar 29, 2023Updated 3 years ago
- ☆58Jun 6, 2023Updated 2 years ago
- This repository contains the resources used for presentation/discussion in weekly iRE Lab meetings.☆14Sep 8, 2017Updated 8 years ago
- ☆15Apr 5, 2023Updated 3 years ago
- ☆19Apr 22, 2024Updated last year
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Mar 5, 2021Updated 5 years ago
- Clockwork VAEs in JAX/Flax☆32Jul 16, 2021Updated 4 years ago