twni2016 / self-predictive-rlLinks
Bridging State and History Representations: Understanding Self-Predictive RL -- ICLR 2024
☆21Updated last year
Alternatives and similar repositories for self-predictive-rl
Users that are interested in self-predictive-rl are comparing it to the libraries listed below
Sorting:
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆63Updated last year
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 weeks ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆56Updated 2 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 4 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- ☆24Updated last year
- ☆36Updated 2 years ago
- Official implementation for "How Should We Meta-Learn Reinforcement Learning Algorithms?"☆19Updated 2 weeks ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"☆20Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 3 weeks ago
- ☆24Updated last year
- ☆42Updated 2 years ago
- My Body Is A Cage☆41Updated 4 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- Source code to reproduce experiments from Mendez et al., ICLR '22☆21Updated 3 years ago
- ☆22Updated last year
- Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.☆13Updated last year
- ☆17Updated last year
- ☆32Updated last year
- ☆20Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated 9 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆27Updated 2 years ago