berkeleydeeprlcourse / homework
Assignments for CS294-112.
☆1,589Updated 2 years ago
Alternatives and similar repositories for homework:
Users that are interested in homework are comparing it to the libraries listed below
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,960Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,289Updated last year
- Reinforcement Learning in PyTorch☆2,250Updated 4 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,108Updated 7 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,088Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,648Updated 9 months ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,344Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,428Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,065Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,260Updated 5 years ago
- A toolkit for reproducible reinforcement learning research.☆1,960Updated last year
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,251Updated 6 years ago
- A list of recent papers regarding deep reinforcement learning☆2,190Updated 8 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆804Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,729Updated 2 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,505Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,620Updated 3 years ago
- For deep RL and the future of AI.☆1,457Updated last year
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,277Updated 2 months ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,589Updated 6 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,720Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,188Updated 4 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆707Updated 6 years ago
- Deep Reinforcement Learning with pytorch & visdom☆798Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,287Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,940Updated this week
- This will contain my notes for research papers that I read.☆615Updated 5 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,217Updated 2 months ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,310Updated 8 months ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,585Updated 5 years ago