nesl / Time-in-State-RLLinks
Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020.
☆25Updated 4 years ago
Alternatives and similar repositories for Time-in-State-RL
Users that are interested in Time-in-State-RL are comparing it to the libraries listed below
Sorting:
- ☆11Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 3 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆18Updated 4 years ago
- ☆25Updated last year
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 4 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 2 months ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆42Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- Toolkit of Causal Model-based Reinforcement Learning.☆32Updated 2 years ago
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆19Updated 3 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Updated 2 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- Literature and code for inverse reinforcement leanring research☆29Updated 5 years ago
- The implementation of Discriminator Soft Actor Critic☆15Updated 5 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Source code to reproduce experiments from Mendez et al., ICLR '22☆21Updated 3 years ago
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆42Updated 2 years ago
- Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding (RSS 2021)☆12Updated 3 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆31Updated 2 years ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆33Updated 4 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆24Updated 2 years ago
- Model-based reinforcement learning using CEM, MPC and PETS☆16Updated 5 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"☆24Updated 3 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 4 years ago
- Model-based Policy Gradients☆31Updated 5 years ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 4 years ago