manish-pra / copgLinks
This repository contains all code and experiments for competitive policy gradient (CoPG) algorithm.
☆24Updated 4 years ago
Alternatives and similar repositories for copg
Users that are interested in copg are comparing it to the libraries listed below
Sorting:
- ☆30Updated last year
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- ☆18Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago
- ☆99Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Safe exploration in Markov Decision Processes☆37Updated 7 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 7 months ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆25Updated 3 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 6 years ago
- Working directory for dynamics learning for experimental robots.☆57Updated 4 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 3 years ago
- ☆26Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 3 years ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆18Updated 2 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆54Updated 4 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- ☆35Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 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
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year