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:
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 2 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago
- A web based platform for collecting human actions in reinforcement learning environments☆30Updated last month
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆16Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- More efficient exploration for reinforcement learning in two-player, zero-sum game☆21Updated last year
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated last year
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆84Updated last year
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆20Updated 3 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆49Updated last year
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆74Updated 2 years ago
- ☆32Updated last year
- Generalised UDRL☆37Updated 3 years ago
- Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)☆45Updated 2 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆97Updated 2 years ago
- The code for experiments conducted to verify the correctness of mirror learning.☆11Updated 3 years ago
- ☆14Updated 6 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 4 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆13Updated last year
- Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem…☆35Updated 4 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 5 years ago
- ☆31Updated 4 years ago
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆51Updated 2 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- ☆10Updated 6 years ago
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…☆32Updated last year
- Reinforcement learning algorithms in RLlib☆59Updated last year
- ☆71Updated 2 years ago