0xangelo / raylabLinks
Reinforcement learning algorithms in RLlib
☆59Updated last year
Alternatives and similar repositories for raylab
Users that are interested in raylab are comparing it to the libraries listed below
Sorting:
- Revisiting Rainbow☆75Updated 4 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 6 years ago
- ☆71Updated 3 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 5 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 6 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated 2 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆156Updated 3 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆88Updated 7 years ago
- ☆86Updated 4 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- An easy-to-use reinforcement learning library for research and education.☆176Updated 3 weeks ago
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated 3 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated 2 years ago
- ☆91Updated 4 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Deep RL agents with PyTorch☆36Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Logarithmic Reinforcement Learning☆28Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- ☆36Updated 7 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 11 months ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆40Updated 3 years ago