automl / learning_environmentsLinks
We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.
☆21Updated 2 years ago
Alternatives and similar repositories for learning_environments
Users that are interested in learning_environments are comparing it to the libraries listed below
Sorting:
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 10 months ago
- A web based platform for collecting human actions in reinforcement learning environments☆30Updated last year
- ☆72Updated 2 years ago
- The code for experiments conducted to verify the correctness of mirror learning.☆11Updated 3 years ago
- Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …☆45Updated 3 years ago
- Reward Propagation using Graph Convolutional Networks☆13Updated 4 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆16Updated 4 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆20Updated 2 years ago
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 2 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆83Updated last year
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆13Updated last year
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Generalised UDRL☆37Updated 3 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆37Updated 4 months ago
- RL CIRL Research☆13Updated 2 years ago
- A2C is a special case of PPO!☆22Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Repo to reproduce the First-Explore paper results☆38Updated 7 months ago
- ☆31Updated 4 years ago
- ☆14Updated 6 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 6 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…☆30Updated last year
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆47Updated last year
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆26Updated 8 months ago