Exploration Strategies for Deep Reinforcement Learning
☆39Oct 31, 2018Updated 7 years ago
Alternatives and similar repositories for E-DRL
Users that are interested in E-DRL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Asynchronous Methods for Deep Reinforcement Learning☆38Jan 8, 2017Updated 9 years ago
- Surprise-based intrinsic motivation for deep reinforcement learning☆21Mar 6, 2017Updated 9 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Aug 4, 2020Updated 5 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Jun 19, 2019Updated 7 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24May 30, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆30Mar 14, 2019Updated 7 years ago
- A practical step-by-step guide to applying RUDDER☆36Nov 12, 2019Updated 6 years ago
- Implementations of deep RL papers and random experimentation☆178Apr 7, 2018Updated 8 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- Models built with TensorFlow☆26Dec 5, 2018Updated 7 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆347Nov 22, 2018Updated 7 years ago
- Model-Free Episodic Control☆14Jan 12, 2017Updated 9 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆55Oct 25, 2017Updated 8 years ago
- Implementation of Deepmind's Neural Episodic Control☆59May 9, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆38Mar 6, 2017Updated 9 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆81Nov 22, 2017Updated 8 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆140Mar 27, 2024Updated 2 years ago
- Trust Region Policy Optimization (TRPO) in pure TensorFlow☆18Jun 7, 2018Updated 8 years ago
- Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Ale…☆12Aug 24, 2018Updated 7 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 7 years ago
- Paper: Learning to Recombine and Resample Data for Compositional Generalization☆11Oct 9, 2020Updated 5 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Nov 26, 2020Updated 5 years ago
- Design good curriculums for deep reinforcement learning☆14May 18, 2016Updated 10 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.☆25May 20, 2024Updated 2 years ago
- Collaborative Deep Reinforcement Learning☆32Jul 29, 2017Updated 8 years ago
- Accelerated Methods for Deep Reinforcement Learning☆49Mar 20, 2019Updated 7 years ago
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆37Sep 23, 2024Updated last year
- This is the implementation of paper Model Free Episodic Control☆34Sep 30, 2019Updated 6 years ago
- Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications☆61Mar 29, 2018Updated 8 years ago
- Bayesian Regression Models using pymc3☆11Feb 4, 2017Updated 9 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆183Sep 21, 2017Updated 8 years ago
- Convert sc2 environment to gym-atari and play some mini-games☆21Oct 28, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Sep 24, 2019Updated 6 years ago
- ☆63Jun 22, 2018Updated 8 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,481Dec 7, 2022Updated 3 years ago
- Catch game example is translated by TensorFlow☆16May 8, 2017Updated 9 years ago
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 2019Updated 7 years ago
- Deep reinforcement learning in ViZDoom (using Tensorflow)☆19Jan 25, 2018Updated 8 years ago
- Simple, small, fully-connected Python version of NeoRL☆11Jan 29, 2016Updated 10 years ago