Officium / RL-Experiments
High-quality implementations of deep reinforcement learning algorithms for experiments
☆51Updated 6 months ago
Alternatives and similar repositories for RL-Experiments:
Users that are interested in RL-Experiments are comparing it to the libraries listed below
- NIPS 2017 Value Prediction Network☆165Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆93Updated 4 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆133Updated 5 years ago
- ☆97Updated last year
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆97Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆103Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- ☆44Updated 6 years ago
- ☆35Updated 6 years ago
- ☆42Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 6 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- ☆159Updated 7 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 3 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆70Updated 8 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- ☆91Updated last year
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year