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:
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 9 months ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- Literature and code for inverse reinforcement leanring research☆30Updated 5 years ago
- ☆24Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 8 months ago
- Model-based reinforcement learning using CEM, MPC and PETS☆16Updated 5 years ago
- ☆11Updated 4 years ago
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆19Updated 3 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 4 years ago
- Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)☆17Updated 3 years ago
- ☆23Updated last year
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆18Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆13Updated last year
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 4 years ago
- Official repo for Offline RL for Online RL☆17Updated last year
- ☆22Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆17Updated last year
- ☆32Updated 11 months ago
- code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"☆24Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆30Updated last year
- The implementation of Discriminator Soft Actor Critic☆15Updated 5 years ago
- Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.☆27Updated last year
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Updated last year
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆33Updated 4 years ago
- More efficient exploration for reinforcement learning in two-player, zero-sum game☆21Updated 11 months ago
- ☆18Updated 3 years ago