rldotai / rl-algorithms
Reinforcement learning algorithms
☆40Updated 5 years ago
Alternatives and similar repositories for rl-algorithms:
Users that are interested in rl-algorithms are comparing it to the libraries listed below
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆93Updated 6 years ago
- Markov Decision Processes in Python☆15Updated 6 years ago
- PyTorch code to train and evaluate Procgen tasks☆24Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- ☆44Updated 6 years ago
- ☆65Updated 11 months ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆37Updated 4 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆49Updated 2 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- Reinforcement Learning via Latent State Decoding☆30Updated last year
- Library to compare and evaluate reward functions☆66Updated last year
- Hierarchical Self-Play☆21Updated 6 years ago
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆25Updated 2 years ago
- ☆35Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- A python implemenation of tabular MuZero for educational purposes☆21Updated 5 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆52Updated 7 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago