Rowing0914 / Reinforcement_Learning
Research repo of RL
☆22Updated last year
Alternatives and similar repositories for Reinforcement_Learning:
Users that are interested in Reinforcement_Learning are comparing it to the libraries listed below
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)☆51Updated 3 years ago
- Implementation of GAIL and AIRL using chinerrl☆17Updated 2 years ago
- The implementation of Discriminator Soft Actor Critic☆14Updated 4 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆22Updated 9 months ago
- ☆68Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆51Updated 4 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆38Updated 5 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago
- Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…☆32Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆36Updated 2 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 5 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆44Updated 10 months ago
- Implementations of a large collection of reinforcement learning algorithms.☆27Updated last year
- TD-Regularized Actor-Critic Methods☆34Updated 5 years ago
- ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives (Deep RL Workshop 2021)☆45Updated 2 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆36Updated 2 years ago
- ☆9Updated 4 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Updated 3 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- A codebase for experimenting with various approaches to action priors.☆18Updated 6 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆39Updated 2 years ago
- Density Constrained Reinforcement Learning☆12Updated last year