chainer / chainerrl-visualizerLinks
☆54Updated 2 years ago
Alternatives and similar repositories for chainerrl-visualizer
Users that are interested in chainerrl-visualizer are comparing it to the libraries listed below
Sorting:
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- ☆35Updated 7 years ago
- Implementation of clipped action policy gradient (CAPG) with PPO and TRPO☆31Updated 7 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Updated 4 years ago
- Sample-Efficient Reinforcement Learning with Bootstrapped Dual Policy Iteration☆25Updated 6 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 5 years ago
- ☆125Updated 2 years ago
- ☆84Updated 5 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
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated 2 years ago
- ☆44Updated 6 years ago
- Augmented environments with RL☆103Updated 6 years ago
- A codebase for experimenting with various approaches to action priors.☆18Updated 7 years ago
- Implementation codes of deep generative models with Pixyz☆106Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- ☆20Updated 6 years ago
- Baselines and memory-based scenarios for the ViZDoom simulator☆36Updated 2 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- ☆89Updated 4 years ago
- Collection of reinforcement learning algorithms☆16Updated last month
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 6 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆116Updated 5 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆129Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 2 years ago